US20140306986A1 - Identifying Content in Electronic Images - Google Patents
Identifying Content in Electronic Images Download PDFInfo
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- US20140306986A1 US20140306986A1 US13/862,212 US201313862212A US2014306986A1 US 20140306986 A1 US20140306986 A1 US 20140306986A1 US 201313862212 A US201313862212 A US 201313862212A US 2014306986 A1 US2014306986 A1 US 2014306986A1
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- Prior art keywords
- graphics
- type
- text
- percentage
- surface area
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/413—Classification of content, e.g. text, photographs or tables
Definitions
- This disclosure generally relates to electronic image analysis.
- Electronic images are presented as surfaces having graphical content.
- Electronic images may be stored in any suitable electronic storage medium, such as a harddrive, flash drive, etc and may be stored according to any suitable format, such as JPEG, TIFF, GIF, etc..
- Electronic images may be presented to a viewer using any suitable display, such as on a display on a personal computer, mobile device, touchscreen, kiosk, television screen, etc.
- Electronic images may have variable characteristics such as size, shape, resolution, color schemes used, etc, and those characteristics may be varied for presentation on different types of displays or in different contexts, windows, etc. on a single display.
- An electronic image such as an advertisement, may contain a type of graphics such as text, shapes, etc.
- An example method may access the electronic image and divide the image into a number of surfaces.
- the surfaces may have any suitable shape or size.
- a determination is made about whether the type of graphics is present on one or more of the surfaces. For example, the determination may be made by any suitable image processing technique or based on input received from a user.
- a percentage of the image's total surface area occupied by the surfaces determined to contain the type of graphics is calculated. In particular embodiments, if that percentage exceeds a predetermined percentage, the type of graphics may be resized, rearranged, or removed such that the total surface area occupied by the surfaces containing the type of graphics is less than the predetermined percentage.
- FIG. 1 illustrates an example network environment associated with a social-networking system.
- FIG. 2 illustrates an example method for determining the percentage of an electronic image occupied by a type of graphics.
- FIG. 3 illustrates an example of determining the percentage of an electronic advertisement occupied by text.
- FIG. 4 illustrates an example computer system.
- FIG. 1 illustrates an example network environment 100 associated with a social-networking system.
- Network environment 100 includes a user 101 , a client system 130 , a social-networking system 160 , and a third-party system 170 connected to each other by a network 110 .
- FIG. 1 illustrates a particular arrangement of user 101 , client system 130 , social-networking system 160 , third-party system 170 , and network 110 , this disclosure contemplates any suitable arrangement of user 101 , client system 130 , social-networking system 160 , third-party system 170 , and network 110 .
- two or more of client system 130 , social-networking system 160 , and third-party system 170 may be connected to each other directly, bypassing network 110 .
- two or more of client system 130 , social-networking system 160 , and third-party system 170 may be physically or logically co-located with each other in whole or in part.
- FIG. 1 illustrates a particular number of users 101 , client systems 130 , social-networking systems 160 , third-party systems 170 , and networks 110
- this disclosure contemplates any suitable number of users 101 , client systems 130 , social-networking systems 160 , third-party systems 170 , and networks 110 .
- network environment 100 may include multiple users 101 , client system 130 , social-networking systems 160 , third-party systems 170 , and networks 110 .
- user 101 may be an individual (human user), an entity (e.g., an enterprise, business, or third-party application), or a group (e.g., of individuals or entities) that interacts or communicates with or over social-networking system 160 .
- social-networking system 160 may be a network-addressable computing system hosting an online social network. Social-networking system 160 may generate, store, receive, and send social-networking data, such as, for example, user-profile data, concept-profile data, social-graph information, or other suitable data related to the online social network. Social-networking system 160 may be accessed by the other components of network environment 100 either directly or via network 110 .
- social-networking system 160 may include an authorization server (or other suitable component(s)) that allows users 101 to opt in to or opt out of having their actions logged by social-networking system 160 or shared with other systems (e.g., third-party systems 170 ), for example, by setting appropriate privacy settings.
- a privacy setting of a user may determine what information associated with the user may be logged, how information associated with the user may be logged, when information associated with the user may be logged, who may log information associated with the user, whom information associated with the user may be shared with, and for what purposes information associated with the user may be logged or shared.
- Authorization servers may be used to enforce one or more privacy settings of the users of social-networking system 30 through blocking, data hashing, anonymization, or other suitable techniques as appropriate.
- Third-party system 170 may generate, store, receive, and send data, such as, for example, an advertisement. Third-party system 170 may be accessed by the other components of network environment 100 either directly or via network 110 .
- one or more users 101 may use one or more client systems 130 to access, send data to, and receive data from social-networking system 160 or third-party system 170 .
- Client system 130 may access social-networking system 160 or third-party system 170 directly, via network 110 , or via a third-party system.
- client system 130 may access third-party system 170 via social-networking system 160 .
- Client system 130 may be any suitable computing device, such as, for example, a personal computer, a laptop computer, a cellular telephone, a smartphone, or a tablet computer.
- network 110 may include any suitable network 110 .
- one or more portions of network 110 may include an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), a portion of the Internet, a portion of the Public Switched Telephone Network (PSTN), a cellular telephone network, or a combination of two or more of these.
- Network 110 may include one or more networks 110 .
- Links 150 may connect client system 130 , social-networking system 160 , and third-party system 170 to communication network 110 or to each other.
- This disclosure contemplates any suitable links 150 .
- one or more links 150 include one or more wireline (such as for example Digital Subscriber Line (DSL) or Data Over Cable Service Interface Specification (DOCSIS)), wireless (such as for example Wi-Fi or Worldwide Interoperability for Microwave Access (WiMAX)), or optical (such as for example Synchronous Optical Network (SONET) or Synchronous Digital Hierarchy (SDH)) links.
- wireline such as for example Digital Subscriber Line (DSL) or Data Over Cable Service Interface Specification (DOCSIS)
- wireless such as for example Wi-Fi or Worldwide Interoperability for Microwave Access (WiMAX)
- optical such as for example Synchronous Optical Network (SONET) or Synchronous Digital Hierarchy (SDH) links.
- SONET Synchronous Optical Network
- SDH Synchronous Digital Hierarchy
- one or more links 150 each include an ad hoc network, an intranet, an extranet, a VPN, a LAN, a WLAN, a WAN, a WWAN, a MAN, a portion of the Internet, a portion of the PSTN, a cellular technology-based network, a satellite communications technology-based network, another link 150 , or a combination of two or more such links 150 .
- Links 150 need not necessarily be the same throughout network environment 100 .
- One or more first links 150 may differ in one or more respects from one or more second links 150 .
- an advertisement may be text (which may be HTML-linked), one or more images (which may be HTML-linked), one or more videos, audio, one or more ADOBE FLASH files, a suitable combination of these, or any other suitable advertisement in any suitable digital format presented on one or more webpages, in one or more e-mails, or in connection with search results requested by a user.
- an advertisement may be one or more sponsored stories (e.g., a news-feed or ticker item on social-networking system 160 ).
- a sponsored story may be a social action by a user (such as “liking” a page, “liking” or commenting on a post on a page, RSVPing to an event associated with a page, voting on a question posted on a page, checking in to a place, using an application or playing a game, or “liking” or sharing a website) that an advertiser promotes, for example, by having the social action presented within a pre-determined area of a profile page of a user or other page, presented with additional information associated with the advertiser, bumped up or otherwise highlighted within news feeds or tickers of other users, or otherwise promoted.
- the advertiser may pay to have the social action promoted.
- advertisements may be included among the search results of a search-results page, where sponsored content is promoted over non-sponsored content.
- an advertisement may be requested for display within social-networking-system webpages, third-party webpages, or other pages.
- An advertisement may be displayed in a dedicated portion of a page, such as in a banner area at the top of the page, in a column at the side of the page, in a GUI of the page, in a pop-up window, in a drop-down menu, in an input field of the page, over the top of content of the page, or elsewhere with respect to the page.
- an advertisement may be displayed within an application.
- An advertisement may be displayed within dedicated pages, requiring the user to interact with or watch the advertisement before the user may access a page or utilize an application. The user may, for example view the advertisement through a web browser.
- FIG. 2 illustrates an example method 200 for determining the percentage of an electronic image occupied by a type of graphics.
- the method may begin at step 210 , where an electronic image is accessed.
- Electronic images may be accessed from any suitable non-volatile storage medium, such as a harddrive, flash drive, ROM, etc.
- Electronic images may accessed from any suitable volatile storage media, such as RAM, caches, buffers, etc.
- surfaces may be represented by identifying the memory elements describing the portion of an image the surface comprises.
- Electronic images may be stored according to any suitable format, such as JPEG, TIFF, GIF, PNG, etc.
- Electronic images may be of any suitable type, such as photos or advertisements, and may include any suitable graphical content such as text, colors, shapes, etc.
- the electronic image is divided into a plurality of surfaces.
- the surfaces may take any suitable shape and be of any suitable size.
- the surfaces may be non-overlapping and/or may collectively span the surface area of the image.
- the surfaces may be squares, rectangles, hexagons, polygons, ellipses, or any suitable combination thereof.
- the surfaces and corresponding divisions may be presented as divided to a user.
- the divisions may be represented as a grid (e.g. by lines or other suitable markings), and the grid and surfaces may be presented to the user.
- one surface of an image may have a different size or shape than another surface of the image.
- divisions or the size, shape, or locations of one or more surfaces may be determined by identifying or estimating the presence of particular content or types of graphics in the image, as explained more fully below.
- This disclosure contemplates dividing an image into any suitable type, number, or size of surfaces, and representing those surfaces and/or divisions in any suitable way.
- This disclosure contemplates any suitable type of graphics, such as text, colors, shapes, etc.
- the determination may be made based on input received from a user.
- the surfaces may be presented to the user and the user may indicate (e.g. by clicking using a cursor, dragging using a cursor, touching on a touch-sensitive portion of the display, etc.) which surfaces contain a type of graphics.
- the number and size of surfaces may be such that the user can make provide input quickly or within a predetermined amount of time, for example by using a uniform grid of rectangles each having a height and width of at least one inch or by using a uniform grid of a predetermined number of squares, such as a 5 ⁇ 5 grid.
- the determination may be made by a computing device, for example by using one or more image-processing techniques, such as optical character recognition (OCR) or line recognition for text, or techniques (such as Fourier transforms) for identifying shapes, patterns, etc, or characteristics of the same.
- OCR optical character recognition
- line recognition for text
- a determination may be made by a combination of user input and a computing device.
- a user's determination of which surfaces contain a type of graphics may be checked by image processing techniques, and vice versa.
- the divisions described above may be altered by or based on estimates of which portions of an image contain a type of graphics.
- a user may identify where a type of graphics is present or identify regions containing the type of graphics, and that identification may be used to determine the size, shape, or location of one or more surfaces.
- a surface may be enlarged or made smaller to more-accurately represent the shape or location of at least part of the particular type of graphics, such as by closely matching a surface to the area occupied by the type of graphics.
- a computing device may estimate where a type of graphics is present, for example by using image-processing techniques as described above, and those estimates may be used to determine the size, shape, or location of one or more surfaces.
- portions of an image where a type of graphics is likely to occur e.g. based on analysis of similar images
- This disclosure contemplates determining that one or more surfaces comprise a type of graphics by any suitable technique.
- the percentage of the image's surface area occupied by surfaces determined to include the type of graphics is calculated.
- This disclosure contemplates any suitable method of calculating the percentage, such as adding the surface areas of the surfaces and dividing by the surface area of the image, by adding each surface area of a surface divided by the surface area of the image, dividing the number of surfaces containing the type of graphics by the total number of surfaces the image is divided into (if the surfaces are of uniform surface area), etc.
- the percentage may be compared to a predetermined percentage, and some action may be taken as a result.
- the image may be an advertisement and the type of graphics may be text.
- the advertisement may be prohibited from being displayed, and the advertiser or publisher may be notified that the advertisement does not comply with rules governing the area of an advertisement text is permitted to cover.
- the surface area of surfaces containing text is a greater percentage of the advertisement's surface area than a pre-determined percentage, at least some of the text may be rearranged, resized, and/or removed.
- the text may iteratively rearranged, resized, and/or removed until the surface area of surfaces containing text is not a greater percentage of the advertisement's surface area than a pre-determined percentage, or a calculation may be made regarding one or more configurations of text that would result in the surface area of surfaces containing text to not be a greater percentage of the advertisement's surface area than a predetermined percentage, and the text may be configured to one of the calculated configurations.
- a user may select all or a portion of the text and indicate a size, shape, or location of the text or a size, shape, or location of one or more surfaces to move the text onto. While this disclosure describes particular embodiments in the context of text on advertisements, this disclosure applies to any suitable type of graphics on any suitable type of electronic image.
- Particular embodiments may repeat one or more steps of the method of FIG. 2 , where appropriate.
- this disclosure describes and illustrates particular steps of the method of FIG. 2 as occurring in a particular order, this disclosure contemplates any suitable steps of the method of FIG. 2 occurring in any suitable order.
- this disclosure describes and illustrates particular components, devices, or systems carrying out particular steps of the method of FIG. 2 , this disclosure contemplates any suitable combination of any suitable components, devices, or systems carrying out any suitable steps of the method of FIG. 2 .
- a determination (whether automated, based on manual input, or some combination thereof) about whether a surface contains a type of graphics may be used to train automated methods used to determine or aid in a determination of whether a surface contains a type of graphics.
- a determination may be used to train one or more image-processing tools such as OCR, line detection, etc.
- machine-learning techniques such as decision trees, neural networks, clustering, reinforcement learning, etc. may be used to facilitate the training process.
- FIG. 3 illustrates a specific example for determining the percentage of an electronic advertisement occupied by text (as described more fully in step 230 , above).
- device 300 displays an advertisement 310 on a display.
- the advertisement is divided into a 5 ⁇ 5 grid of rectangular surfaces 320 , and the divisions are indicated by gridlines 330 .
- the user selects the rectangular surfaces where text appears, such as rectangular surface 340 .
- the user may select the rectangular surfaces by any suitable method, such as by using a cursor, tapping the squares on a touch-sensitive display, swiping the squares on a touch-sensitive display, etc.
- selected surfaces may be presented differently than unselected surfaces, for example by shading the selected surfaces, coloring the selected surfaces, etc. As illustrated by the example of FIG.
- a type of graphics may be determined not to be a on a surface if only a small amount of the type of graphics is on the surface or the type of graphics occupies only a small amount of surface area of the surface.
- surface 350 contains a small portion of text, and the user may not indicate that the surface contains text.
- FIG. 4 illustrates an example computer system 400 .
- one or more computer systems 400 perform one or more steps of one or more methods described or illustrated herein.
- one or more computer systems 400 provide functionality described or illustrated herein.
- software running on one or more computer systems 400 performs one or more steps of one or more methods described or illustrated herein or provides functionality described or illustrated herein.
- Particular embodiments include one or more portions of one or more computer systems 400 .
- reference to a computer system may encompass a computing device, and vice versa, where appropriate.
- reference to a computer system may encompass one or more computer systems, where appropriate.
- computer system 400 may be an embedded computer system, a system-on-chip (SOC), a single-board computer system (SB) (such as, for example, a computer-on-module (COM) or system-on-module (SOM)), a desktop computer system, a laptop or notebook computer system, an interactive kiosk, a mainframe, a mesh of computer systems, a mobile telephone, a personal digital assistant (PDA), a server, a tablet computer system, or a combination of two or more of these.
- SOC system-on-chip
- SB single-board computer system
- COM computer-on-module
- SOM system-on-module
- desktop computer system such as, for example, a computer-on-module (COM) or system-on-module (SOM)
- laptop or notebook computer system such as, for example, a computer-on-module (COM) or system-on-module (SOM)
- desktop computer system such as, for example, a computer-on-module (COM
- computer system 400 may include one or more computer systems 400 ; be unitary or distributed; span multiple locations; span multiple machines; span multiple data centers; or reside in a cloud, which may include one or more cloud components in one or more networks.
- one or more computer systems 400 may perform without substantial spatial or temporal limitation one or more steps of one or more methods described or illustrated herein.
- one or more computer systems 400 may perform in real time or in batch mode one or more steps of one or more methods described or illustrated herein.
- One or more computer systems 400 may perform at different times or at different locations one or more steps of one or more methods described or illustrated herein, where appropriate.
- computer system 400 includes a processor 402 , memory 404 , storage 406 , an input/output (I/O) interface 408 , a communication interface 410 , and a bus 412 .
- I/O input/output
- this disclosure describes and illustrates a particular computer system having a particular number of particular components in a particular arrangement, this disclosure contemplates any suitable computer system having any suitable number of any suitable components in any suitable arrangement.
- processor 402 includes hardware for executing instructions, such as those making up a computer program.
- processor 402 may retrieve (or fetch) the instructions from an internal register, an internal cache, memory 404 , or storage 406 ; decode and execute them; and then write one or more results to an internal register, an internal cache, memory 404 , or storage 406 .
- processor 402 may include one or more internal caches for data, instructions, or addresses. This disclosure contemplates processor 402 including any suitable number of any suitable internal caches, where appropriate.
- processor 402 may include one or more instruction caches, one or more data caches, and one or more translation lookaside buffers (TLBs). Instructions in the instruction caches may be copies of instructions in memory 404 or storage 406 , and the instruction caches may speed up retrieval of those instructions by processor 402 . Data in the data caches may be copies of data in memory 404 or storage 406 for instructions executing at processor 402 to operate on; the results of previous instructions executed at processor 402 for access by subsequent instructions executing at processor 402 or for writing to memory 404 or storage 406 ; or other suitable data. The data caches may speed up read or write operations by processor 402 . The TLBs may speed up virtual-address translation for processor 402 .
- TLBs translation lookaside buffers
- processor 402 may include one or more internal registers for data, instructions, or addresses. This disclosure contemplates processor 402 including any suitable number of any suitable internal registers, where appropriate. Where appropriate, processor 402 may include one or more arithmetic logic units (ALUs); be a multi-core processor; or include one or more processors 402 . Although this disclosure describes and illustrates a particular processor, this disclosure contemplates any suitable processor.
- ALUs arithmetic logic units
- memory 404 includes main memory for storing instructions for processor 402 to execute or data for processor 402 to operate on.
- computer system 400 may load instructions from storage 406 or another source (such as, for example, another computer system 400 ) to memory 404 .
- Processor 402 may then load the instructions from memory 404 to an internal register or internal cache.
- processor 402 may retrieve the instructions from the internal register or internal cache and decode them.
- processor 402 may write one or more results (which may be intermediate or final results) to the internal register or internal cache.
- Processor 402 may then write one or more of those results to memory 404 .
- processor 402 executes only instructions in one or more internal registers or internal caches or in memory 404 (as opposed to storage 406 or elsewhere) and operates only on data in one or more internal registers or internal caches or in memory 404 (as opposed to storage 406 or elsewhere).
- One or more memory buses (which may each include an address bus and a data bus) may couple processor 402 to memory 404 .
- Bus 412 may include one or more memory buses, as described below.
- one or more memory management units reside between processor 402 and memory 404 and facilitate accesses to memory 404 requested by processor 402 .
- memory 404 includes random access memory (RAM).
- This RAM may be volatile memory, where appropriate Where appropriate, this RAM may be dynamic RAM (DRAM) or static RAM (SRAM). Moreover, where appropriate, this RAM may be single-ported or multi-ported RAM. This disclosure contemplates any suitable RAM.
- Memory 404 may include one or more memories 404 , where appropriate. Although this disclosure describes and illustrates particular memory, this disclosure contemplates any suitable memory.
- storage 406 includes mass storage for data or instructions.
- storage 406 may include a hard disk drive (HDD), a floppy disk drive, flash memory, an optical disc, a magneto-optical disc, magnetic tape, or a Universal Serial Bus (USB) drive or a combination of two or more of these.
- Storage 406 may include removable or non-removable (or fixed) media, where appropriate.
- Storage 406 may be internal or external to computer system 400 , where appropriate.
- storage 406 is non-volatile, solid-state memory.
- storage 406 includes read-only memory (ROM).
- this ROM may be mask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically alterable ROM (EAROM), or flash memory or a combination of two or more of these.
- This disclosure contemplates mass storage 406 taking any suitable physical form.
- Storage 406 may include one or more storage control units facilitating communication between processor 402 and storage 406 , where appropriate. Where appropriate, storage 406 may include one or more storages 406 . Although this disclosure describes and illustrates particular storage, this disclosure contemplates any suitable storage.
- I/O interface 408 includes hardware, software, or both, providing one or more interfaces for communication between computer system 400 and one or more I/O devices.
- Computer system 400 may include one or more of these I/O devices, where appropriate.
- One or more of these I/O devices may enable communication between a person and computer system 400 .
- an I/O device may include a keyboard, keypad, microphone, monitor, mouse, printer, scanner, speaker, still camera, stylus, tablet, touch screen, trackball, video camera, another suitable I/O device or a combination of two or more of these.
- An I/O device may include one or more sensors. This disclosure contemplates any suitable I/O devices and any suitable I/O interfaces 408 for them.
- I/O interface 408 may include one or more device or software drivers enabling processor 402 to drive one or more of these I/O devices.
- I/O interface 408 may include one or more I/O interfaces 408 , where appropriate. Although this disclosure describes and illustrates a particular I/O interface, this disclosure contemplates any suitable I/O interface.
- communication interface 410 includes hardware, software, or both providing one or more interfaces for communication (such as, for example, packet-based communication) between computer system 400 and one or more other computer systems 400 or one or more networks.
- communication interface 410 may include a network interface controller (NIC) or network adapter for communicating with an Ethernet or other wire-based network or a wireless NIC (WNIC) or wireless adapter for communicating with a wireless network, such as a WI-FI network.
- NIC network interface controller
- WNIC wireless NIC
- WI-FI network wireless network
- computer system 400 may communicate with an ad hoc network, a personal area network (PAN), a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), or one or more portions of the Internet or a combination of two or more of these.
- PAN personal area network
- LAN local area network
- WAN wide area network
- MAN metropolitan area network
- computer system 400 may communicate with a wireless PAN (WPAN) (such as, for example, a BLUETOOTH WPAN), a WI-FI network, a WI-MAX network, a cellular telephone network (such as, for example, a Global System for Mobile Communications (GSM) network), or other suitable wireless network or a combination of two or more of these.
- WPAN wireless PAN
- WI-FI wireless personal area network
- WI-MAX wireless personal area network
- WI-MAX wireless personal area network
- cellular telephone network such as, for example, a Global System for Mobile Communications (GSM) network
- GSM Global System
- bus 412 includes hardware, software, or both coupling components of computer system 400 to each other.
- bus 412 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a front-side bus (FSB), a HYPERTRANSPORT (HT) interconnect, an Industry Standard Architecture (ISA) bus, an INFINIBAND interconnect, a low-pin-count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCIe) bus, a serial advanced technology attachment (SATA) bus, a Video Electronics Standards Association local (VLB) bus, or another suitable bus or a combination of two or more of these.
- Bus 412 may include one or more buses 412 , where appropriate.
- a computer-readable non-transitory storage medium or media may include one or more semiconductor-based or other integrated circuits (ICs) (such, as for example, field-programmable gate arrays (FPGAs) or application-specific ICs (ASICs)), hard disk drives (HDDs), hybrid hard drives (HHDs), optical discs, optical disc drives (ODDs), magneto-optical discs, magneto-optical drives, floppy diskettes, floppy disk drives (FDDs), magnetic tapes, solid-state drives (SSDs), RAM-drives, SECURE DIGITAL cards or drives, any other suitable computer-readable non-transitory storage media, or any suitable combination of two or more of these, where appropriate.
- ICs such, as for example, field-programmable gate arrays (FPGAs) or application-specific ICs (ASICs)
- HDDs hard disk drives
- HHDs hybrid hard drives
- ODDs optical disc drives
- magneto-optical discs magneto-optical drives
- an apparatus or system or a component of an apparatus or system being adapted to, arranged to, capable of, configured to, enabled to, operable to, or operative to perform a particular function encompasses that apparatus, system, component, whether or not it or that particular function is activated, turned on, or unlocked, as long as that apparatus, system, or component is so adapted, arranged, capable, configured, enabled, operable, or operative.
Abstract
Description
- This disclosure generally relates to electronic image analysis.
- Electronic images are presented as surfaces having graphical content. Electronic images may be stored in any suitable electronic storage medium, such as a harddrive, flash drive, etc and may be stored according to any suitable format, such as JPEG, TIFF, GIF, etc.. Electronic images may be presented to a viewer using any suitable display, such as on a display on a personal computer, mobile device, touchscreen, kiosk, television screen, etc. Electronic images may have variable characteristics such as size, shape, resolution, color schemes used, etc, and those characteristics may be varied for presentation on different types of displays or in different contexts, windows, etc. on a single display.
- An electronic image, such as an advertisement, may contain a type of graphics such as text, shapes, etc. An example method may access the electronic image and divide the image into a number of surfaces. The surfaces may have any suitable shape or size. A determination is made about whether the type of graphics is present on one or more of the surfaces. For example, the determination may be made by any suitable image processing technique or based on input received from a user. A percentage of the image's total surface area occupied by the surfaces determined to contain the type of graphics is calculated. In particular embodiments, if that percentage exceeds a predetermined percentage, the type of graphics may be resized, rearranged, or removed such that the total surface area occupied by the surfaces containing the type of graphics is less than the predetermined percentage.
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FIG. 1 illustrates an example network environment associated with a social-networking system. -
FIG. 2 illustrates an example method for determining the percentage of an electronic image occupied by a type of graphics. -
FIG. 3 illustrates an example of determining the percentage of an electronic advertisement occupied by text. -
FIG. 4 illustrates an example computer system. -
FIG. 1 illustrates an example network environment 100 associated with a social-networking system. Network environment 100 includes auser 101, aclient system 130, a social-networking system 160, and a third-party system 170 connected to each other by anetwork 110. AlthoughFIG. 1 illustrates a particular arrangement ofuser 101,client system 130, social-networking system 160, third-party system 170, andnetwork 110, this disclosure contemplates any suitable arrangement ofuser 101,client system 130, social-networking system 160, third-party system 170, andnetwork 110. As an example and not by way of limitation, two or more ofclient system 130, social-networking system 160, and third-party system 170 may be connected to each other directly, bypassingnetwork 110. As another example, two or more ofclient system 130, social-networking system 160, and third-party system 170 may be physically or logically co-located with each other in whole or in part. Moreover, althoughFIG. 1 illustrates a particular number ofusers 101,client systems 130, social-networking systems 160, third-party systems 170, andnetworks 110, this disclosure contemplates any suitable number ofusers 101,client systems 130, social-networking systems 160, third-party systems 170, andnetworks 110. As an example and not by way of limitation, network environment 100 may includemultiple users 101,client system 130, social-networking systems 160, third-party systems 170, andnetworks 110. - In particular embodiments,
user 101 may be an individual (human user), an entity (e.g., an enterprise, business, or third-party application), or a group (e.g., of individuals or entities) that interacts or communicates with or over social-networking system 160. In particular embodiments, social-networking system 160 may be a network-addressable computing system hosting an online social network. Social-networking system 160 may generate, store, receive, and send social-networking data, such as, for example, user-profile data, concept-profile data, social-graph information, or other suitable data related to the online social network. Social-networking system 160 may be accessed by the other components of network environment 100 either directly or vianetwork 110. In particular embodiments, social-networking system 160 may include an authorization server (or other suitable component(s)) that allowsusers 101 to opt in to or opt out of having their actions logged by social-networking system 160 or shared with other systems (e.g., third-party systems 170), for example, by setting appropriate privacy settings. A privacy setting of a user may determine what information associated with the user may be logged, how information associated with the user may be logged, when information associated with the user may be logged, who may log information associated with the user, whom information associated with the user may be shared with, and for what purposes information associated with the user may be logged or shared. Authorization servers may be used to enforce one or more privacy settings of the users of social-networking system 30 through blocking, data hashing, anonymization, or other suitable techniques as appropriate. Third-party system 170 may generate, store, receive, and send data, such as, for example, an advertisement. Third-party system 170 may be accessed by the other components of network environment 100 either directly or vianetwork 110. In particular embodiments, one ormore users 101 may use one ormore client systems 130 to access, send data to, and receive data from social-networking system 160 or third-party system 170.Client system 130 may access social-networking system 160 or third-party system 170 directly, vianetwork 110, or via a third-party system. As an example and not by way of limitation,client system 130 may access third-party system 170 via social-networking system 160.Client system 130 may be any suitable computing device, such as, for example, a personal computer, a laptop computer, a cellular telephone, a smartphone, or a tablet computer. - This disclosure contemplates any
suitable network 110. As an example and not by way of limitation, one or more portions ofnetwork 110 may include an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), a portion of the Internet, a portion of the Public Switched Telephone Network (PSTN), a cellular telephone network, or a combination of two or more of these. Network 110 may include one ormore networks 110. -
Links 150 may connectclient system 130, social-networking system 160, and third-party system 170 tocommunication network 110 or to each other. This disclosure contemplates anysuitable links 150. In particular embodiments, one ormore links 150 include one or more wireline (such as for example Digital Subscriber Line (DSL) or Data Over Cable Service Interface Specification (DOCSIS)), wireless (such as for example Wi-Fi or Worldwide Interoperability for Microwave Access (WiMAX)), or optical (such as for example Synchronous Optical Network (SONET) or Synchronous Digital Hierarchy (SDH)) links. In particular embodiments, one ormore links 150 each include an ad hoc network, an intranet, an extranet, a VPN, a LAN, a WLAN, a WAN, a WWAN, a MAN, a portion of the Internet, a portion of the PSTN, a cellular technology-based network, a satellite communications technology-based network, anotherlink 150, or a combination of two or moresuch links 150.Links 150 need not necessarily be the same throughout network environment 100. One or morefirst links 150 may differ in one or more respects from one or moresecond links 150. - In particular embodiments, an advertisement may be text (which may be HTML-linked), one or more images (which may be HTML-linked), one or more videos, audio, one or more ADOBE FLASH files, a suitable combination of these, or any other suitable advertisement in any suitable digital format presented on one or more webpages, in one or more e-mails, or in connection with search results requested by a user. In addition or as an alternative, an advertisement may be one or more sponsored stories (e.g., a news-feed or ticker item on social-networking system 160). A sponsored story may be a social action by a user (such as “liking” a page, “liking” or commenting on a post on a page, RSVPing to an event associated with a page, voting on a question posted on a page, checking in to a place, using an application or playing a game, or “liking” or sharing a website) that an advertiser promotes, for example, by having the social action presented within a pre-determined area of a profile page of a user or other page, presented with additional information associated with the advertiser, bumped up or otherwise highlighted within news feeds or tickers of other users, or otherwise promoted. The advertiser may pay to have the social action promoted. As an example and not by way of limitation, advertisements may be included among the search results of a search-results page, where sponsored content is promoted over non-sponsored content.
- In particular embodiments, an advertisement may be requested for display within social-networking-system webpages, third-party webpages, or other pages. An advertisement may be displayed in a dedicated portion of a page, such as in a banner area at the top of the page, in a column at the side of the page, in a GUI of the page, in a pop-up window, in a drop-down menu, in an input field of the page, over the top of content of the page, or elsewhere with respect to the page. In addition or as an alternative, an advertisement may be displayed within an application. An advertisement may be displayed within dedicated pages, requiring the user to interact with or watch the advertisement before the user may access a page or utilize an application. The user may, for example view the advertisement through a web browser.
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FIG. 2 illustrates anexample method 200 for determining the percentage of an electronic image occupied by a type of graphics. The method may begin atstep 210, where an electronic image is accessed. Electronic images may be accessed from any suitable non-volatile storage medium, such as a harddrive, flash drive, ROM, etc. Electronic images may accessed from any suitable volatile storage media, such as RAM, caches, buffers, etc. In particular embodiments, surfaces may be represented by identifying the memory elements describing the portion of an image the surface comprises. Electronic images may be stored according to any suitable format, such as JPEG, TIFF, GIF, PNG, etc. Electronic images may be of any suitable type, such as photos or advertisements, and may include any suitable graphical content such as text, colors, shapes, etc. - At
step 220, the electronic image is divided into a plurality of surfaces. The surfaces (and thus, the divisions) may take any suitable shape and be of any suitable size. In particular embodiments, the surfaces may be non-overlapping and/or may collectively span the surface area of the image. For example, the surfaces may be squares, rectangles, hexagons, polygons, ellipses, or any suitable combination thereof. In particular embodiments, the surfaces and corresponding divisions may be presented as divided to a user. For example, the divisions may be represented as a grid (e.g. by lines or other suitable markings), and the grid and surfaces may be presented to the user. In particular embodiments, one surface of an image may have a different size or shape than another surface of the image. In particular embodiments, divisions or the size, shape, or locations of one or more surfaces may be determined by identifying or estimating the presence of particular content or types of graphics in the image, as explained more fully below. This disclosure contemplates dividing an image into any suitable type, number, or size of surfaces, and representing those surfaces and/or divisions in any suitable way. - At
step 230, a determination is made whether a type of graphics exists on at least one of the surfaces. This disclosure contemplates any suitable type of graphics, such as text, colors, shapes, etc. In particular embodiments, the determination may be made based on input received from a user. For example, the surfaces may be presented to the user and the user may indicate (e.g. by clicking using a cursor, dragging using a cursor, touching on a touch-sensitive portion of the display, etc.) which surfaces contain a type of graphics. In particular embodiments, the number and size of surfaces may be such that the user can make provide input quickly or within a predetermined amount of time, for example by using a uniform grid of rectangles each having a height and width of at least one inch or by using a uniform grid of a predetermined number of squares, such as a 5×5 grid. In particular embodiments, the determination may be made by a computing device, for example by using one or more image-processing techniques, such as optical character recognition (OCR) or line recognition for text, or techniques (such as Fourier transforms) for identifying shapes, patterns, etc, or characteristics of the same. In particular embodiments, a determination may be made by a combination of user input and a computing device. For example, a user's determination of which surfaces contain a type of graphics may be checked by image processing techniques, and vice versa. In particular embodiments, the divisions described above may be altered by or based on estimates of which portions of an image contain a type of graphics. As an example, a user may identify where a type of graphics is present or identify regions containing the type of graphics, and that identification may be used to determine the size, shape, or location of one or more surfaces. For example, a surface may be enlarged or made smaller to more-accurately represent the shape or location of at least part of the particular type of graphics, such as by closely matching a surface to the area occupied by the type of graphics. As another example, a computing device may estimate where a type of graphics is present, for example by using image-processing techniques as described above, and those estimates may be used to determine the size, shape, or location of one or more surfaces. As another example, portions of an image where a type of graphics is likely to occur (e.g. based on analysis of similar images) may have pre-sized and/or pre-shaped surfaces. This disclosure contemplates determining that one or more surfaces comprise a type of graphics by any suitable technique. - At
step 240, the percentage of the image's surface area occupied by surfaces determined to include the type of graphics is calculated. This disclosure contemplates any suitable method of calculating the percentage, such as adding the surface areas of the surfaces and dividing by the surface area of the image, by adding each surface area of a surface divided by the surface area of the image, dividing the number of surfaces containing the type of graphics by the total number of surfaces the image is divided into (if the surfaces are of uniform surface area), etc. In particular embodiments, the percentage may be compared to a predetermined percentage, and some action may be taken as a result. As an example, the image may be an advertisement and the type of graphics may be text. If the surface area of surfaces containing text is a greater percentage of the advertisement's surface area than a pre-determined percentage, the advertisement may be prohibited from being displayed, and the advertiser or publisher may be notified that the advertisement does not comply with rules governing the area of an advertisement text is permitted to cover. In addition or the alternative, if the surface area of surfaces containing text is a greater percentage of the advertisement's surface area than a pre-determined percentage, at least some of the text may be rearranged, resized, and/or removed. For example, the text may iteratively rearranged, resized, and/or removed until the surface area of surfaces containing text is not a greater percentage of the advertisement's surface area than a pre-determined percentage, or a calculation may be made regarding one or more configurations of text that would result in the surface area of surfaces containing text to not be a greater percentage of the advertisement's surface area than a predetermined percentage, and the text may be configured to one of the calculated configurations. As another example, a user may select all or a portion of the text and indicate a size, shape, or location of the text or a size, shape, or location of one or more surfaces to move the text onto. While this disclosure describes particular embodiments in the context of text on advertisements, this disclosure applies to any suitable type of graphics on any suitable type of electronic image. - Particular embodiments may repeat one or more steps of the method of
FIG. 2 , where appropriate. Although this disclosure describes and illustrates particular steps of the method ofFIG. 2 as occurring in a particular order, this disclosure contemplates any suitable steps of the method ofFIG. 2 occurring in any suitable order. Moreover, although this disclosure describes and illustrates particular components, devices, or systems carrying out particular steps of the method ofFIG. 2 , this disclosure contemplates any suitable combination of any suitable components, devices, or systems carrying out any suitable steps of the method ofFIG. 2 . - In particular embodiments, a determination (whether automated, based on manual input, or some combination thereof) about whether a surface contains a type of graphics may be used to train automated methods used to determine or aid in a determination of whether a surface contains a type of graphics. For example, a determination may be used to train one or more image-processing tools such as OCR, line detection, etc. In particular embodiments, machine-learning techniques such as decision trees, neural networks, clustering, reinforcement learning, etc. may be used to facilitate the training process.
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FIG. 3 illustrates a specific example for determining the percentage of an electronic advertisement occupied by text (as described more fully instep 230, above). As illustrated,device 300 displays anadvertisement 310 on a display. The advertisement is divided into a 5×5 grid ofrectangular surfaces 320, and the divisions are indicated bygridlines 330. The user selects the rectangular surfaces where text appears, such asrectangular surface 340. The user may select the rectangular surfaces by any suitable method, such as by using a cursor, tapping the squares on a touch-sensitive display, swiping the squares on a touch-sensitive display, etc. In particular embodiments, selected surfaces may be presented differently than unselected surfaces, for example by shading the selected surfaces, coloring the selected surfaces, etc. As illustrated by the example ofFIG. 3 , in particular embodiments a type of graphics may be determined not to be a on a surface if only a small amount of the type of graphics is on the surface or the type of graphics occupies only a small amount of surface area of the surface. For example,surface 350 contains a small portion of text, and the user may not indicate that the surface contains text. -
FIG. 4 illustrates anexample computer system 400. In particular embodiments, one ormore computer systems 400 perform one or more steps of one or more methods described or illustrated herein. In particular embodiments, one ormore computer systems 400 provide functionality described or illustrated herein. In particular embodiments, software running on one ormore computer systems 400 performs one or more steps of one or more methods described or illustrated herein or provides functionality described or illustrated herein. Particular embodiments include one or more portions of one ormore computer systems 400. Herein, reference to a computer system may encompass a computing device, and vice versa, where appropriate. Moreover, reference to a computer system may encompass one or more computer systems, where appropriate. - This disclosure contemplates any suitable number of
computer systems 400. This disclosure contemplatescomputer system 400 taking any suitable physical form. As example and not by way of limitation,computer system 400 may be an embedded computer system, a system-on-chip (SOC), a single-board computer system (SB) (such as, for example, a computer-on-module (COM) or system-on-module (SOM)), a desktop computer system, a laptop or notebook computer system, an interactive kiosk, a mainframe, a mesh of computer systems, a mobile telephone, a personal digital assistant (PDA), a server, a tablet computer system, or a combination of two or more of these. Where appropriate,computer system 400 may include one ormore computer systems 400; be unitary or distributed; span multiple locations; span multiple machines; span multiple data centers; or reside in a cloud, which may include one or more cloud components in one or more networks. Where appropriate, one ormore computer systems 400 may perform without substantial spatial or temporal limitation one or more steps of one or more methods described or illustrated herein. As an example and not by way of limitation, one ormore computer systems 400 may perform in real time or in batch mode one or more steps of one or more methods described or illustrated herein. One ormore computer systems 400 may perform at different times or at different locations one or more steps of one or more methods described or illustrated herein, where appropriate. - In particular embodiments,
computer system 400 includes aprocessor 402,memory 404,storage 406, an input/output (I/O)interface 408, acommunication interface 410, and abus 412. Although this disclosure describes and illustrates a particular computer system having a particular number of particular components in a particular arrangement, this disclosure contemplates any suitable computer system having any suitable number of any suitable components in any suitable arrangement. - In particular embodiments,
processor 402 includes hardware for executing instructions, such as those making up a computer program. As an example and not by way of limitation, to execute instructions,processor 402 may retrieve (or fetch) the instructions from an internal register, an internal cache,memory 404, orstorage 406; decode and execute them; and then write one or more results to an internal register, an internal cache,memory 404, orstorage 406. In particular embodiments,processor 402 may include one or more internal caches for data, instructions, or addresses. This disclosure contemplatesprocessor 402 including any suitable number of any suitable internal caches, where appropriate. As an example and not by way of limitation,processor 402 may include one or more instruction caches, one or more data caches, and one or more translation lookaside buffers (TLBs). Instructions in the instruction caches may be copies of instructions inmemory 404 orstorage 406, and the instruction caches may speed up retrieval of those instructions byprocessor 402. Data in the data caches may be copies of data inmemory 404 orstorage 406 for instructions executing atprocessor 402 to operate on; the results of previous instructions executed atprocessor 402 for access by subsequent instructions executing atprocessor 402 or for writing tomemory 404 orstorage 406; or other suitable data. The data caches may speed up read or write operations byprocessor 402. The TLBs may speed up virtual-address translation forprocessor 402. In particular embodiments,processor 402 may include one or more internal registers for data, instructions, or addresses. This disclosure contemplatesprocessor 402 including any suitable number of any suitable internal registers, where appropriate. Where appropriate,processor 402 may include one or more arithmetic logic units (ALUs); be a multi-core processor; or include one ormore processors 402. Although this disclosure describes and illustrates a particular processor, this disclosure contemplates any suitable processor. - In particular embodiments,
memory 404 includes main memory for storing instructions forprocessor 402 to execute or data forprocessor 402 to operate on. As an example and not by way of limitation,computer system 400 may load instructions fromstorage 406 or another source (such as, for example, another computer system 400) tomemory 404.Processor 402 may then load the instructions frommemory 404 to an internal register or internal cache. To execute the instructions,processor 402 may retrieve the instructions from the internal register or internal cache and decode them. During or after execution of the instructions,processor 402 may write one or more results (which may be intermediate or final results) to the internal register or internal cache.Processor 402 may then write one or more of those results tomemory 404. In particular embodiments,processor 402 executes only instructions in one or more internal registers or internal caches or in memory 404 (as opposed tostorage 406 or elsewhere) and operates only on data in one or more internal registers or internal caches or in memory 404 (as opposed tostorage 406 or elsewhere). One or more memory buses (which may each include an address bus and a data bus) may coupleprocessor 402 tomemory 404.Bus 412 may include one or more memory buses, as described below. In particular embodiments, one or more memory management units (MMUs) reside betweenprocessor 402 andmemory 404 and facilitate accesses tomemory 404 requested byprocessor 402. In particular embodiments,memory 404 includes random access memory (RAM). This RAM may be volatile memory, where appropriate Where appropriate, this RAM may be dynamic RAM (DRAM) or static RAM (SRAM). Moreover, where appropriate, this RAM may be single-ported or multi-ported RAM. This disclosure contemplates any suitable RAM.Memory 404 may include one ormore memories 404, where appropriate. Although this disclosure describes and illustrates particular memory, this disclosure contemplates any suitable memory. - In particular embodiments,
storage 406 includes mass storage for data or instructions. As an example and not by way of limitation,storage 406 may include a hard disk drive (HDD), a floppy disk drive, flash memory, an optical disc, a magneto-optical disc, magnetic tape, or a Universal Serial Bus (USB) drive or a combination of two or more of these.Storage 406 may include removable or non-removable (or fixed) media, where appropriate.Storage 406 may be internal or external tocomputer system 400, where appropriate. In particular embodiments,storage 406 is non-volatile, solid-state memory. In particular embodiments,storage 406 includes read-only memory (ROM). Where appropriate, this ROM may be mask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically alterable ROM (EAROM), or flash memory or a combination of two or more of these. This disclosure contemplatesmass storage 406 taking any suitable physical form.Storage 406 may include one or more storage control units facilitating communication betweenprocessor 402 andstorage 406, where appropriate. Where appropriate,storage 406 may include one ormore storages 406. Although this disclosure describes and illustrates particular storage, this disclosure contemplates any suitable storage. - In particular embodiments, I/
O interface 408 includes hardware, software, or both, providing one or more interfaces for communication betweencomputer system 400 and one or more I/O devices.Computer system 400 may include one or more of these I/O devices, where appropriate. One or more of these I/O devices may enable communication between a person andcomputer system 400. As an example and not by way of limitation, an I/O device may include a keyboard, keypad, microphone, monitor, mouse, printer, scanner, speaker, still camera, stylus, tablet, touch screen, trackball, video camera, another suitable I/O device or a combination of two or more of these. An I/O device may include one or more sensors. This disclosure contemplates any suitable I/O devices and any suitable I/O interfaces 408 for them. Where appropriate, I/O interface 408 may include one or more device or softwaredrivers enabling processor 402 to drive one or more of these I/O devices. I/O interface 408 may include one or more I/O interfaces 408, where appropriate. Although this disclosure describes and illustrates a particular I/O interface, this disclosure contemplates any suitable I/O interface. - In particular embodiments,
communication interface 410 includes hardware, software, or both providing one or more interfaces for communication (such as, for example, packet-based communication) betweencomputer system 400 and one or moreother computer systems 400 or one or more networks. As an example and not by way of limitation,communication interface 410 may include a network interface controller (NIC) or network adapter for communicating with an Ethernet or other wire-based network or a wireless NIC (WNIC) or wireless adapter for communicating with a wireless network, such as a WI-FI network. This disclosure contemplates any suitable network and anysuitable communication interface 410 for it. As an example and not by way of limitation,computer system 400 may communicate with an ad hoc network, a personal area network (PAN), a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), or one or more portions of the Internet or a combination of two or more of these. One or more portions of one or more of these networks may be wired or wireless. As an example,computer system 400 may communicate with a wireless PAN (WPAN) (such as, for example, a BLUETOOTH WPAN), a WI-FI network, a WI-MAX network, a cellular telephone network (such as, for example, a Global System for Mobile Communications (GSM) network), or other suitable wireless network or a combination of two or more of these.Computer system 400 may include anysuitable communication interface 410 for any of these networks, where appropriate.Communication interface 410 may include one ormore communication interfaces 410, where appropriate. Although this disclosure describes and illustrates a particular communication interface, this disclosure contemplates any suitable communication interface. - In particular embodiments,
bus 412 includes hardware, software, or both coupling components ofcomputer system 400 to each other. As an example and not by way of limitation,bus 412 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a front-side bus (FSB), a HYPERTRANSPORT (HT) interconnect, an Industry Standard Architecture (ISA) bus, an INFINIBAND interconnect, a low-pin-count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCIe) bus, a serial advanced technology attachment (SATA) bus, a Video Electronics Standards Association local (VLB) bus, or another suitable bus or a combination of two or more of these.Bus 412 may include one ormore buses 412, where appropriate. Although this disclosure describes and illustrates a particular bus, this disclosure contemplates any suitable bus or interconnect. - Herein, a computer-readable non-transitory storage medium or media may include one or more semiconductor-based or other integrated circuits (ICs) (such, as for example, field-programmable gate arrays (FPGAs) or application-specific ICs (ASICs)), hard disk drives (HDDs), hybrid hard drives (HHDs), optical discs, optical disc drives (ODDs), magneto-optical discs, magneto-optical drives, floppy diskettes, floppy disk drives (FDDs), magnetic tapes, solid-state drives (SSDs), RAM-drives, SECURE DIGITAL cards or drives, any other suitable computer-readable non-transitory storage media, or any suitable combination of two or more of these, where appropriate. A computer-readable non-transitory storage medium may be volatile, non-volatile, or a combination of volatile and non-volatile, where appropriate.
- Herein, “or” is inclusive and not exclusive, unless expressly indicated otherwise or indicated otherwise by context. Therefore, herein, “A or B” means “A, B, or both,” unless expressly indicated otherwise or indicated otherwise by context. Moreover, “and” is both joint and several, unless expressly indicated otherwise or indicated otherwise by context. Therefore, herein, “A and B” means “A and B, jointly or severally,” unless expressly indicated otherwise or indicated otherwise by context.
- The scope of this disclosure encompasses all changes, substitutions, variations, alterations, and modifications to the example embodiments described or illustrated herein that a person having ordinary skill in the art would comprehend. The scope of this disclosure is not limited to the example embodiments described or illustrated herein. Moreover, although this disclosure describes and illustrates respective embodiments herein as including particular components, elements, functions, operations, or steps, any of these embodiments may include any combination or permutation of any of the components, elements, functions, operations, or steps described or illustrated anywhere herein that a person having ordinary skill in the art would comprehend. Furthermore, reference in the appended claims to an apparatus or system or a component of an apparatus or system being adapted to, arranged to, capable of, configured to, enabled to, operable to, or operative to perform a particular function encompasses that apparatus, system, component, whether or not it or that particular function is activated, turned on, or unlocked, as long as that apparatus, system, or component is so adapted, arranged, capable, configured, enabled, operable, or operative.
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Cited By (119)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170374003A1 (en) | 2014-10-02 | 2017-12-28 | Snapchat, Inc. | Ephemeral gallery of ephemeral messages |
US9866999B1 (en) | 2014-01-12 | 2018-01-09 | Investment Asset Holdings Llc | Location-based messaging |
US10123166B2 (en) | 2015-01-26 | 2018-11-06 | Snap Inc. | Content request by location |
US10154192B1 (en) | 2014-07-07 | 2018-12-11 | Snap Inc. | Apparatus and method for supplying content aware photo filters |
US10157449B1 (en) | 2015-01-09 | 2018-12-18 | Snap Inc. | Geo-location-based image filters |
US10165402B1 (en) | 2016-06-28 | 2018-12-25 | Snap Inc. | System to track engagement of media items |
US10182311B2 (en) | 2014-06-13 | 2019-01-15 | Snap Inc. | Prioritization of messages within a message collection |
US10203855B2 (en) | 2016-12-09 | 2019-02-12 | Snap Inc. | Customized user-controlled media overlays |
US10219111B1 (en) | 2018-04-18 | 2019-02-26 | Snap Inc. | Visitation tracking system |
US10223397B1 (en) | 2015-03-13 | 2019-03-05 | Snap Inc. | Social graph based co-location of network users |
US10319149B1 (en) | 2017-02-17 | 2019-06-11 | Snap Inc. | Augmented reality anamorphosis system |
US10327096B1 (en) | 2018-03-06 | 2019-06-18 | Snap Inc. | Geo-fence selection system |
US10334307B2 (en) | 2011-07-12 | 2019-06-25 | Snap Inc. | Methods and systems of providing visual content editing functions |
US10348662B2 (en) | 2016-07-19 | 2019-07-09 | Snap Inc. | Generating customized electronic messaging graphics |
US10354425B2 (en) | 2015-12-18 | 2019-07-16 | Snap Inc. | Method and system for providing context relevant media augmentation |
US10366543B1 (en) | 2015-10-30 | 2019-07-30 | Snap Inc. | Image based tracking in augmented reality systems |
US10387730B1 (en) | 2017-04-20 | 2019-08-20 | Snap Inc. | Augmented reality typography personalization system |
US10387514B1 (en) | 2016-06-30 | 2019-08-20 | Snap Inc. | Automated content curation and communication |
US10423983B2 (en) | 2014-09-16 | 2019-09-24 | Snap Inc. | Determining targeting information based on a predictive targeting model |
US10430838B1 (en) | 2016-06-28 | 2019-10-01 | Snap Inc. | Methods and systems for generation, curation, and presentation of media collections with automated advertising |
US10474321B2 (en) | 2015-11-30 | 2019-11-12 | Snap Inc. | Network resource location linking and visual content sharing |
US10499191B1 (en) | 2017-10-09 | 2019-12-03 | Snap Inc. | Context sensitive presentation of content |
US10523625B1 (en) | 2017-03-09 | 2019-12-31 | Snap Inc. | Restricted group content collection |
US10572681B1 (en) | 2014-05-28 | 2020-02-25 | Snap Inc. | Apparatus and method for automated privacy protection in distributed images |
US10580458B2 (en) | 2014-12-19 | 2020-03-03 | Snap Inc. | Gallery of videos set to an audio time line |
US10592574B2 (en) | 2015-05-05 | 2020-03-17 | Snap Inc. | Systems and methods for automated local story generation and curation |
US10616476B1 (en) | 2014-11-12 | 2020-04-07 | Snap Inc. | User interface for accessing media at a geographic location |
US10616239B2 (en) | 2015-03-18 | 2020-04-07 | Snap Inc. | Geo-fence authorization provisioning |
US10623666B2 (en) | 2016-11-07 | 2020-04-14 | Snap Inc. | Selective identification and order of image modifiers |
US10679393B2 (en) | 2018-07-24 | 2020-06-09 | Snap Inc. | Conditional modification of augmented reality object |
US10678818B2 (en) | 2018-01-03 | 2020-06-09 | Snap Inc. | Tag distribution visualization system |
US10679389B2 (en) | 2016-02-26 | 2020-06-09 | Snap Inc. | Methods and systems for generation, curation, and presentation of media collections |
US10740974B1 (en) | 2017-09-15 | 2020-08-11 | Snap Inc. | Augmented reality system |
US10817898B2 (en) | 2015-08-13 | 2020-10-27 | Placed, Llc | Determining exposures to content presented by physical objects |
US10824654B2 (en) * | 2014-09-18 | 2020-11-03 | Snap Inc. | Geolocation-based pictographs |
US10834525B2 (en) | 2016-02-26 | 2020-11-10 | Snap Inc. | Generation, curation, and presentation of media collections |
US10862951B1 (en) | 2007-01-05 | 2020-12-08 | Snap Inc. | Real-time display of multiple images |
US10885136B1 (en) | 2018-02-28 | 2021-01-05 | Snap Inc. | Audience filtering system |
US10911575B1 (en) | 2015-05-05 | 2021-02-02 | Snap Inc. | Systems and methods for story and sub-story navigation |
US10915911B2 (en) | 2017-02-03 | 2021-02-09 | Snap Inc. | System to determine a price-schedule to distribute media content |
US10933311B2 (en) | 2018-03-14 | 2021-03-02 | Snap Inc. | Generating collectible items based on location information |
US10948717B1 (en) | 2015-03-23 | 2021-03-16 | Snap Inc. | Reducing boot time and power consumption in wearable display systems |
US10952013B1 (en) | 2017-04-27 | 2021-03-16 | Snap Inc. | Selective location-based identity communication |
US10963529B1 (en) | 2017-04-27 | 2021-03-30 | Snap Inc. | Location-based search mechanism in a graphical user interface |
US10979752B1 (en) | 2018-02-28 | 2021-04-13 | Snap Inc. | Generating media content items based on location information |
US10993069B2 (en) | 2015-07-16 | 2021-04-27 | Snap Inc. | Dynamically adaptive media content delivery |
US10997783B2 (en) | 2015-11-30 | 2021-05-04 | Snap Inc. | Image and point cloud based tracking and in augmented reality systems |
US10997760B2 (en) | 2018-08-31 | 2021-05-04 | Snap Inc. | Augmented reality anthropomorphization system |
US11017173B1 (en) | 2017-12-22 | 2021-05-25 | Snap Inc. | Named entity recognition visual context and caption data |
US11023514B2 (en) | 2016-02-26 | 2021-06-01 | Snap Inc. | Methods and systems for generation, curation, and presentation of media collections |
US11030787B2 (en) | 2017-10-30 | 2021-06-08 | Snap Inc. | Mobile-based cartographic control of display content |
US11038829B1 (en) | 2014-10-02 | 2021-06-15 | Snap Inc. | Ephemeral gallery of ephemeral messages with opt-in permanence |
US11037372B2 (en) | 2017-03-06 | 2021-06-15 | Snap Inc. | Virtual vision system |
US11128715B1 (en) | 2019-12-30 | 2021-09-21 | Snap Inc. | Physical friend proximity in chat |
US11163941B1 (en) | 2018-03-30 | 2021-11-02 | Snap Inc. | Annotating a collection of media content items |
US11170393B1 (en) | 2017-04-11 | 2021-11-09 | Snap Inc. | System to calculate an engagement score of location based media content |
US11182383B1 (en) | 2012-02-24 | 2021-11-23 | Placed, Llc | System and method for data collection to validate location data |
US11189299B1 (en) | 2017-02-20 | 2021-11-30 | Snap Inc. | Augmented reality speech balloon system |
US11199957B1 (en) | 2018-11-30 | 2021-12-14 | Snap Inc. | Generating customized avatars based on location information |
US11206615B2 (en) | 2019-05-30 | 2021-12-21 | Snap Inc. | Wearable device location systems |
US11216869B2 (en) | 2014-09-23 | 2022-01-04 | Snap Inc. | User interface to augment an image using geolocation |
US11218838B2 (en) | 2019-10-31 | 2022-01-04 | Snap Inc. | Focused map-based context information surfacing |
US11228551B1 (en) | 2020-02-12 | 2022-01-18 | Snap Inc. | Multiple gateway message exchange |
US11232040B1 (en) | 2017-04-28 | 2022-01-25 | Snap Inc. | Precaching unlockable data elements |
US11249614B2 (en) | 2019-03-28 | 2022-02-15 | Snap Inc. | Generating personalized map interface with enhanced icons |
US11250075B1 (en) | 2017-02-17 | 2022-02-15 | Snap Inc. | Searching social media content |
US11249617B1 (en) | 2015-01-19 | 2022-02-15 | Snap Inc. | Multichannel system |
US11265273B1 (en) | 2017-12-01 | 2022-03-01 | Snap, Inc. | Dynamic media overlay with smart widget |
US11290851B2 (en) | 2020-06-15 | 2022-03-29 | Snap Inc. | Location sharing using offline and online objects |
US11297399B1 (en) | 2017-03-27 | 2022-04-05 | Snap Inc. | Generating a stitched data stream |
US11294936B1 (en) | 2019-01-30 | 2022-04-05 | Snap Inc. | Adaptive spatial density based clustering |
US11301117B2 (en) | 2019-03-08 | 2022-04-12 | Snap Inc. | Contextual information in chat |
US11314776B2 (en) | 2020-06-15 | 2022-04-26 | Snap Inc. | Location sharing using friend list versions |
US11343323B2 (en) | 2019-12-31 | 2022-05-24 | Snap Inc. | Augmented reality objects registry |
US11349796B2 (en) | 2017-03-27 | 2022-05-31 | Snap Inc. | Generating a stitched data stream |
US11361493B2 (en) | 2019-04-01 | 2022-06-14 | Snap Inc. | Semantic texture mapping system |
US11372608B2 (en) | 2014-12-19 | 2022-06-28 | Snap Inc. | Gallery of messages from individuals with a shared interest |
US11388226B1 (en) | 2015-01-13 | 2022-07-12 | Snap Inc. | Guided personal identity based actions |
US11430091B2 (en) | 2020-03-27 | 2022-08-30 | Snap Inc. | Location mapping for large scale augmented-reality |
US11429618B2 (en) | 2019-12-30 | 2022-08-30 | Snap Inc. | Surfacing augmented reality objects |
US11455082B2 (en) | 2018-09-28 | 2022-09-27 | Snap Inc. | Collaborative achievement interface |
US11475254B1 (en) | 2017-09-08 | 2022-10-18 | Snap Inc. | Multimodal entity identification |
US11483267B2 (en) | 2020-06-15 | 2022-10-25 | Snap Inc. | Location sharing using different rate-limited links |
US11500525B2 (en) | 2019-02-25 | 2022-11-15 | Snap Inc. | Custom media overlay system |
US11503432B2 (en) | 2020-06-15 | 2022-11-15 | Snap Inc. | Scalable real-time location sharing framework |
US11507614B1 (en) | 2018-02-13 | 2022-11-22 | Snap Inc. | Icon based tagging |
US11516167B2 (en) | 2020-03-05 | 2022-11-29 | Snap Inc. | Storing data based on device location |
US11558709B2 (en) | 2018-11-30 | 2023-01-17 | Snap Inc. | Position service to determine relative position to map features |
US11574431B2 (en) | 2019-02-26 | 2023-02-07 | Snap Inc. | Avatar based on weather |
US11601888B2 (en) | 2021-03-29 | 2023-03-07 | Snap Inc. | Determining location using multi-source geolocation data |
US11601783B2 (en) | 2019-06-07 | 2023-03-07 | Snap Inc. | Detection of a physical collision between two client devices in a location sharing system |
US11606755B2 (en) | 2019-05-30 | 2023-03-14 | Snap Inc. | Wearable device location systems architecture |
US11616745B2 (en) | 2017-01-09 | 2023-03-28 | Snap Inc. | Contextual generation and selection of customized media content |
US11619501B2 (en) | 2020-03-11 | 2023-04-04 | Snap Inc. | Avatar based on trip |
US11625443B2 (en) | 2014-06-05 | 2023-04-11 | Snap Inc. | Web document enhancement |
US11631276B2 (en) | 2016-03-31 | 2023-04-18 | Snap Inc. | Automated avatar generation |
US11645324B2 (en) | 2021-03-31 | 2023-05-09 | Snap Inc. | Location-based timeline media content system |
US11675831B2 (en) | 2017-05-31 | 2023-06-13 | Snap Inc. | Geolocation based playlists |
US11676378B2 (en) | 2020-06-29 | 2023-06-13 | Snap Inc. | Providing travel-based augmented reality content with a captured image |
US11714535B2 (en) | 2019-07-11 | 2023-08-01 | Snap Inc. | Edge gesture interface with smart interactions |
US11734712B2 (en) | 2012-02-24 | 2023-08-22 | Foursquare Labs, Inc. | Attributing in-store visits to media consumption based on data collected from user devices |
US11751015B2 (en) | 2019-01-16 | 2023-09-05 | Snap Inc. | Location-based context information sharing in a messaging system |
US11776256B2 (en) | 2020-03-27 | 2023-10-03 | Snap Inc. | Shared augmented reality system |
US11799811B2 (en) | 2018-10-31 | 2023-10-24 | Snap Inc. | Messaging and gaming applications communication platform |
US11809624B2 (en) | 2019-02-13 | 2023-11-07 | Snap Inc. | Sleep detection in a location sharing system |
US11816853B2 (en) | 2016-08-30 | 2023-11-14 | Snap Inc. | Systems and methods for simultaneous localization and mapping |
US11821742B2 (en) | 2019-09-26 | 2023-11-21 | Snap Inc. | Travel based notifications |
US11829834B2 (en) | 2021-10-29 | 2023-11-28 | Snap Inc. | Extended QR code |
US11843456B2 (en) | 2016-10-24 | 2023-12-12 | Snap Inc. | Generating and displaying customized avatars in media overlays |
US11842411B2 (en) | 2017-04-27 | 2023-12-12 | Snap Inc. | Location-based virtual avatars |
US11852554B1 (en) | 2019-03-21 | 2023-12-26 | Snap Inc. | Barometer calibration in a location sharing system |
US11860888B2 (en) | 2018-05-22 | 2024-01-02 | Snap Inc. | Event detection system |
US11868414B1 (en) | 2019-03-14 | 2024-01-09 | Snap Inc. | Graph-based prediction for contact suggestion in a location sharing system |
US11870743B1 (en) | 2017-01-23 | 2024-01-09 | Snap Inc. | Customized digital avatar accessories |
US11877211B2 (en) | 2019-01-14 | 2024-01-16 | Snap Inc. | Destination sharing in location sharing system |
US11893208B2 (en) | 2019-12-31 | 2024-02-06 | Snap Inc. | Combined map icon with action indicator |
US11925869B2 (en) | 2012-05-08 | 2024-03-12 | Snap Inc. | System and method for generating and displaying avatars |
US11943192B2 (en) | 2020-08-31 | 2024-03-26 | Snap Inc. | Co-location connection service |
US11954314B2 (en) | 2022-09-09 | 2024-04-09 | Snap Inc. | Custom media overlay system |
Citations (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070027749A1 (en) * | 2005-07-27 | 2007-02-01 | Hewlett-Packard Development Company, L.P. | Advertisement detection |
US7203360B2 (en) * | 2003-04-09 | 2007-04-10 | Lee Shih-Jong J | Learnable object segmentation |
US20080231751A1 (en) * | 2007-03-22 | 2008-09-25 | Sony Computer Entertainment America Inc. | Scheme for determining the locations and timing of advertisements and other insertions in media |
US20080260248A1 (en) * | 2007-04-23 | 2008-10-23 | Sony Corporation | Image processing apparatus, image processing method, and program |
US20090150210A1 (en) * | 2007-12-10 | 2009-06-11 | Athellina Athsani | Advertising associated with multimedia content |
US20090171920A1 (en) * | 2007-12-28 | 2009-07-02 | Microsoft Corporation | Adaptive page layout utilizing block-level elements |
US20100100811A1 (en) * | 2008-10-20 | 2010-04-22 | Canon Kabushiki Kaisha | Information processing apparatus and layout processing method |
US20100157340A1 (en) * | 2008-12-18 | 2010-06-24 | Canon Kabushiki Kaisha | Object extraction in colour compound documents |
US7930647B2 (en) * | 2005-12-11 | 2011-04-19 | Topix Llc | System and method for selecting pictures for presentation with text content |
US20110091098A1 (en) * | 2005-09-02 | 2011-04-21 | Alan Yuille | System and Method for Detecting Text in Real-World Color Images |
US20110302524A1 (en) * | 2010-06-04 | 2011-12-08 | Scott Forstall | Progress indicators for loading content |
US20110302510A1 (en) * | 2010-06-04 | 2011-12-08 | David Frank Harrison | Reader mode presentation of web content |
US20110321084A1 (en) * | 2010-06-25 | 2011-12-29 | Kddi Corporation | Apparatus and method for optimizing on-screen location of additional content overlay on video content |
US20120159307A1 (en) * | 2010-12-17 | 2012-06-21 | Microsoft Corporation | Rendering source regions into target regions of web pages |
US20130058575A1 (en) * | 2011-09-06 | 2013-03-07 | Qualcomm Incorporated | Text detection using image regions |
US20130069924A1 (en) * | 2011-09-01 | 2013-03-21 | Research In Motion Limited | Data display adapted for bright ambient light |
US8655716B1 (en) * | 2007-01-27 | 2014-02-18 | Sprint Communications Company L.P. | Integrated advertisement delivery |
US8818913B1 (en) * | 2004-01-14 | 2014-08-26 | Junkin Holdings Llc | Wireless access using preexisting data connection |
US20140289614A1 (en) * | 2005-05-16 | 2014-09-25 | Adobe Systems Incorporated | Object resizing with content reflow |
Family Cites Families (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06208625A (en) | 1993-01-11 | 1994-07-26 | Canon Inc | Method and device for processing image |
US7278117B2 (en) | 2002-07-02 | 2007-10-02 | Hewlett-Packard Development Company, L.P. | Image segmentation and warping for specialized display viewing |
AU2002952711A0 (en) * | 2002-11-18 | 2002-11-28 | Typefi Systems Pty Ltd | A method of formatting documents |
US20060103667A1 (en) * | 2004-10-28 | 2006-05-18 | Universal-Ad. Ltd. | Method, system and computer readable code for automatic reize of product oriented advertisements |
JP4661474B2 (en) | 2005-09-13 | 2011-03-30 | 富士ゼロックス株式会社 | Image processing apparatus, abnormality detection method, program, and recording medium |
US9110903B2 (en) * | 2006-11-22 | 2015-08-18 | Yahoo! Inc. | Method, system and apparatus for using user profile electronic device data in media delivery |
CN101419661B (en) | 2007-10-26 | 2011-08-24 | 国际商业机器公司 | Method for displaying image based on text in image and system |
US8799068B2 (en) * | 2007-11-05 | 2014-08-05 | Facebook, Inc. | Social advertisements and other informational messages on a social networking website, and advertising model for same |
JP5006263B2 (en) | 2008-06-03 | 2012-08-22 | 株式会社リコー | Image processing apparatus, program, and image processing method |
US8189917B2 (en) | 2008-09-25 | 2012-05-29 | Sharp Laboratories Of America, Inc. | Methods and systems for locating text in a digital image |
US8914736B2 (en) * | 2010-03-30 | 2014-12-16 | International Business Machines Corporation | On-page manipulation and real-time replacement of content |
US8670597B2 (en) * | 2009-08-07 | 2014-03-11 | Google Inc. | Facial recognition with social network aiding |
US8352856B2 (en) | 2009-11-11 | 2013-01-08 | Xerox Corporation | Systems and methods to resize document content |
KR20130009754A (en) * | 2010-02-01 | 2013-01-23 | 점프탭, 인크. | Integrated advertising system |
US20110313859A1 (en) | 2010-06-22 | 2011-12-22 | Microsoft Corporation | Techniques for advertiser geotargeting using map coordinates |
KR101577508B1 (en) * | 2010-06-29 | 2015-12-15 | 라쿠텐 인코포레이티드 | Information processing device, information processing method, and recording medium in which information processing program is recorded |
KR101223784B1 (en) | 2011-05-27 | 2013-01-21 | 송정욱 | Apparatus, system and method for transforming image |
-
2013
- 2013-04-12 US US13/862,212 patent/US10296933B2/en active Active
-
2014
- 2014-04-02 JP JP2016507563A patent/JP6473135B2/en active Active
- 2014-04-02 AU AU2014251221A patent/AU2014251221B2/en not_active Ceased
- 2014-04-02 MX MX2015014302A patent/MX364910B/en active IP Right Grant
- 2014-04-02 CN CN201480033674.XA patent/CN105408855B/en active Active
- 2014-04-02 KR KR1020157032308A patent/KR102025615B1/en active IP Right Grant
- 2014-04-02 BR BR112015025970A patent/BR112015025970A2/en not_active Application Discontinuation
- 2014-04-02 EP EP14783229.9A patent/EP2984556A4/en not_active Withdrawn
- 2014-04-02 WO PCT/US2014/032669 patent/WO2014168795A1/en active Application Filing
- 2014-04-02 CA CA2908554A patent/CA2908554A1/en not_active Abandoned
-
2019
- 2019-01-24 JP JP2019010276A patent/JP6744932B2/en active Active
Patent Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7203360B2 (en) * | 2003-04-09 | 2007-04-10 | Lee Shih-Jong J | Learnable object segmentation |
US8818913B1 (en) * | 2004-01-14 | 2014-08-26 | Junkin Holdings Llc | Wireless access using preexisting data connection |
US20140289614A1 (en) * | 2005-05-16 | 2014-09-25 | Adobe Systems Incorporated | Object resizing with content reflow |
US20070027749A1 (en) * | 2005-07-27 | 2007-02-01 | Hewlett-Packard Development Company, L.P. | Advertisement detection |
US20110091098A1 (en) * | 2005-09-02 | 2011-04-21 | Alan Yuille | System and Method for Detecting Text in Real-World Color Images |
US7930647B2 (en) * | 2005-12-11 | 2011-04-19 | Topix Llc | System and method for selecting pictures for presentation with text content |
US8655716B1 (en) * | 2007-01-27 | 2014-02-18 | Sprint Communications Company L.P. | Integrated advertisement delivery |
US20080231751A1 (en) * | 2007-03-22 | 2008-09-25 | Sony Computer Entertainment America Inc. | Scheme for determining the locations and timing of advertisements and other insertions in media |
US20080260248A1 (en) * | 2007-04-23 | 2008-10-23 | Sony Corporation | Image processing apparatus, image processing method, and program |
US20090150210A1 (en) * | 2007-12-10 | 2009-06-11 | Athellina Athsani | Advertising associated with multimedia content |
US20090171920A1 (en) * | 2007-12-28 | 2009-07-02 | Microsoft Corporation | Adaptive page layout utilizing block-level elements |
US20110010661A1 (en) * | 2007-12-28 | 2011-01-13 | Microsoft Corporation | Adaptive page layout utilizing block-level elements |
US20100100811A1 (en) * | 2008-10-20 | 2010-04-22 | Canon Kabushiki Kaisha | Information processing apparatus and layout processing method |
US20100157340A1 (en) * | 2008-12-18 | 2010-06-24 | Canon Kabushiki Kaisha | Object extraction in colour compound documents |
US20110302524A1 (en) * | 2010-06-04 | 2011-12-08 | Scott Forstall | Progress indicators for loading content |
US20110302510A1 (en) * | 2010-06-04 | 2011-12-08 | David Frank Harrison | Reader mode presentation of web content |
US20110321084A1 (en) * | 2010-06-25 | 2011-12-29 | Kddi Corporation | Apparatus and method for optimizing on-screen location of additional content overlay on video content |
US20120159307A1 (en) * | 2010-12-17 | 2012-06-21 | Microsoft Corporation | Rendering source regions into target regions of web pages |
US20130069924A1 (en) * | 2011-09-01 | 2013-03-21 | Research In Motion Limited | Data display adapted for bright ambient light |
US20130058575A1 (en) * | 2011-09-06 | 2013-03-07 | Qualcomm Incorporated | Text detection using image regions |
Cited By (255)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10862951B1 (en) | 2007-01-05 | 2020-12-08 | Snap Inc. | Real-time display of multiple images |
US11588770B2 (en) | 2007-01-05 | 2023-02-21 | Snap Inc. | Real-time display of multiple images |
US11750875B2 (en) | 2011-07-12 | 2023-09-05 | Snap Inc. | Providing visual content editing functions |
US10999623B2 (en) | 2011-07-12 | 2021-05-04 | Snap Inc. | Providing visual content editing functions |
US10334307B2 (en) | 2011-07-12 | 2019-06-25 | Snap Inc. | Methods and systems of providing visual content editing functions |
US11451856B2 (en) | 2011-07-12 | 2022-09-20 | Snap Inc. | Providing visual content editing functions |
US11182383B1 (en) | 2012-02-24 | 2021-11-23 | Placed, Llc | System and method for data collection to validate location data |
US11734712B2 (en) | 2012-02-24 | 2023-08-22 | Foursquare Labs, Inc. | Attributing in-store visits to media consumption based on data collected from user devices |
US11925869B2 (en) | 2012-05-08 | 2024-03-12 | Snap Inc. | System and method for generating and displaying avatars |
US10349209B1 (en) | 2014-01-12 | 2019-07-09 | Investment Asset Holdings Llc | Location-based messaging |
US10080102B1 (en) | 2014-01-12 | 2018-09-18 | Investment Asset Holdings Llc | Location-based messaging |
US9866999B1 (en) | 2014-01-12 | 2018-01-09 | Investment Asset Holdings Llc | Location-based messaging |
US10990697B2 (en) | 2014-05-28 | 2021-04-27 | Snap Inc. | Apparatus and method for automated privacy protection in distributed images |
US10572681B1 (en) | 2014-05-28 | 2020-02-25 | Snap Inc. | Apparatus and method for automated privacy protection in distributed images |
US11625443B2 (en) | 2014-06-05 | 2023-04-11 | Snap Inc. | Web document enhancement |
US11921805B2 (en) | 2014-06-05 | 2024-03-05 | Snap Inc. | Web document enhancement |
US10200813B1 (en) | 2014-06-13 | 2019-02-05 | Snap Inc. | Geo-location based event gallery |
US10659914B1 (en) | 2014-06-13 | 2020-05-19 | Snap Inc. | Geo-location based event gallery |
US11166121B2 (en) | 2014-06-13 | 2021-11-02 | Snap Inc. | Prioritization of messages within a message collection |
US10524087B1 (en) | 2014-06-13 | 2019-12-31 | Snap Inc. | Message destination list mechanism |
US10182311B2 (en) | 2014-06-13 | 2019-01-15 | Snap Inc. | Prioritization of messages within a message collection |
US10779113B2 (en) | 2014-06-13 | 2020-09-15 | Snap Inc. | Prioritization of messages within a message collection |
US11317240B2 (en) | 2014-06-13 | 2022-04-26 | Snap Inc. | Geo-location based event gallery |
US10448201B1 (en) | 2014-06-13 | 2019-10-15 | Snap Inc. | Prioritization of messages within a message collection |
US10623891B2 (en) | 2014-06-13 | 2020-04-14 | Snap Inc. | Prioritization of messages within a message collection |
US11595569B2 (en) | 2014-07-07 | 2023-02-28 | Snap Inc. | Supplying content aware photo filters |
US10432850B1 (en) | 2014-07-07 | 2019-10-01 | Snap Inc. | Apparatus and method for supplying content aware photo filters |
US11849214B2 (en) | 2014-07-07 | 2023-12-19 | Snap Inc. | Apparatus and method for supplying content aware photo filters |
US11122200B2 (en) | 2014-07-07 | 2021-09-14 | Snap Inc. | Supplying content aware photo filters |
US10602057B1 (en) | 2014-07-07 | 2020-03-24 | Snap Inc. | Supplying content aware photo filters |
US10154192B1 (en) | 2014-07-07 | 2018-12-11 | Snap Inc. | Apparatus and method for supplying content aware photo filters |
US10423983B2 (en) | 2014-09-16 | 2019-09-24 | Snap Inc. | Determining targeting information based on a predictive targeting model |
US11625755B1 (en) | 2014-09-16 | 2023-04-11 | Foursquare Labs, Inc. | Determining targeting information based on a predictive targeting model |
US11741136B2 (en) * | 2014-09-18 | 2023-08-29 | Snap Inc. | Geolocation-based pictographs |
US10824654B2 (en) * | 2014-09-18 | 2020-11-03 | Snap Inc. | Geolocation-based pictographs |
US20220318281A1 (en) * | 2014-09-18 | 2022-10-06 | Snap Inc. | Geolocation-based pictographs |
US11281701B2 (en) * | 2014-09-18 | 2022-03-22 | Snap Inc. | Geolocation-based pictographs |
US11216869B2 (en) | 2014-09-23 | 2022-01-04 | Snap Inc. | User interface to augment an image using geolocation |
US20170374003A1 (en) | 2014-10-02 | 2017-12-28 | Snapchat, Inc. | Ephemeral gallery of ephemeral messages |
US11522822B1 (en) | 2014-10-02 | 2022-12-06 | Snap Inc. | Ephemeral gallery elimination based on gallery and message timers |
US11038829B1 (en) | 2014-10-02 | 2021-06-15 | Snap Inc. | Ephemeral gallery of ephemeral messages with opt-in permanence |
US10476830B2 (en) | 2014-10-02 | 2019-11-12 | Snap Inc. | Ephemeral gallery of ephemeral messages |
US11411908B1 (en) | 2014-10-02 | 2022-08-09 | Snap Inc. | Ephemeral message gallery user interface with online viewing history indicia |
US11190679B2 (en) | 2014-11-12 | 2021-11-30 | Snap Inc. | Accessing media at a geographic location |
US10616476B1 (en) | 2014-11-12 | 2020-04-07 | Snap Inc. | User interface for accessing media at a geographic location |
US11783862B2 (en) | 2014-12-19 | 2023-10-10 | Snap Inc. | Routing messages by message parameter |
US11803345B2 (en) | 2014-12-19 | 2023-10-31 | Snap Inc. | Gallery of messages from individuals with a shared interest |
US11250887B2 (en) | 2014-12-19 | 2022-02-15 | Snap Inc. | Routing messages by message parameter |
US11372608B2 (en) | 2014-12-19 | 2022-06-28 | Snap Inc. | Gallery of messages from individuals with a shared interest |
US10580458B2 (en) | 2014-12-19 | 2020-03-03 | Snap Inc. | Gallery of videos set to an audio time line |
US10811053B2 (en) | 2014-12-19 | 2020-10-20 | Snap Inc. | Routing messages by message parameter |
US10157449B1 (en) | 2015-01-09 | 2018-12-18 | Snap Inc. | Geo-location-based image filters |
US11301960B2 (en) | 2015-01-09 | 2022-04-12 | Snap Inc. | Object recognition based image filters |
US11734342B2 (en) | 2015-01-09 | 2023-08-22 | Snap Inc. | Object recognition based image overlays |
US10380720B1 (en) | 2015-01-09 | 2019-08-13 | Snap Inc. | Location-based image filters |
US11388226B1 (en) | 2015-01-13 | 2022-07-12 | Snap Inc. | Guided personal identity based actions |
US11249617B1 (en) | 2015-01-19 | 2022-02-15 | Snap Inc. | Multichannel system |
US10932085B1 (en) | 2015-01-26 | 2021-02-23 | Snap Inc. | Content request by location |
US10123166B2 (en) | 2015-01-26 | 2018-11-06 | Snap Inc. | Content request by location |
US11910267B2 (en) | 2015-01-26 | 2024-02-20 | Snap Inc. | Content request by location |
US11528579B2 (en) | 2015-01-26 | 2022-12-13 | Snap Inc. | Content request by location |
US10536800B1 (en) | 2015-01-26 | 2020-01-14 | Snap Inc. | Content request by location |
US10223397B1 (en) | 2015-03-13 | 2019-03-05 | Snap Inc. | Social graph based co-location of network users |
US10893055B2 (en) | 2015-03-18 | 2021-01-12 | Snap Inc. | Geo-fence authorization provisioning |
US10616239B2 (en) | 2015-03-18 | 2020-04-07 | Snap Inc. | Geo-fence authorization provisioning |
US11902287B2 (en) | 2015-03-18 | 2024-02-13 | Snap Inc. | Geo-fence authorization provisioning |
US11320651B2 (en) | 2015-03-23 | 2022-05-03 | Snap Inc. | Reducing boot time and power consumption in displaying data content |
US11662576B2 (en) | 2015-03-23 | 2023-05-30 | Snap Inc. | Reducing boot time and power consumption in displaying data content |
US10948717B1 (en) | 2015-03-23 | 2021-03-16 | Snap Inc. | Reducing boot time and power consumption in wearable display systems |
US10911575B1 (en) | 2015-05-05 | 2021-02-02 | Snap Inc. | Systems and methods for story and sub-story navigation |
US11496544B2 (en) | 2015-05-05 | 2022-11-08 | Snap Inc. | Story and sub-story navigation |
US10592574B2 (en) | 2015-05-05 | 2020-03-17 | Snap Inc. | Systems and methods for automated local story generation and curation |
US11449539B2 (en) | 2015-05-05 | 2022-09-20 | Snap Inc. | Automated local story generation and curation |
US11392633B2 (en) | 2015-05-05 | 2022-07-19 | Snap Inc. | Systems and methods for automated local story generation and curation |
US10993069B2 (en) | 2015-07-16 | 2021-04-27 | Snap Inc. | Dynamically adaptive media content delivery |
US10817898B2 (en) | 2015-08-13 | 2020-10-27 | Placed, Llc | Determining exposures to content presented by physical objects |
US11315331B2 (en) | 2015-10-30 | 2022-04-26 | Snap Inc. | Image based tracking in augmented reality systems |
US11769307B2 (en) | 2015-10-30 | 2023-09-26 | Snap Inc. | Image based tracking in augmented reality systems |
US10733802B2 (en) | 2015-10-30 | 2020-08-04 | Snap Inc. | Image based tracking in augmented reality systems |
US10366543B1 (en) | 2015-10-30 | 2019-07-30 | Snap Inc. | Image based tracking in augmented reality systems |
US10997783B2 (en) | 2015-11-30 | 2021-05-04 | Snap Inc. | Image and point cloud based tracking and in augmented reality systems |
US11380051B2 (en) | 2015-11-30 | 2022-07-05 | Snap Inc. | Image and point cloud based tracking and in augmented reality systems |
US11599241B2 (en) | 2015-11-30 | 2023-03-07 | Snap Inc. | Network resource location linking and visual content sharing |
US10474321B2 (en) | 2015-11-30 | 2019-11-12 | Snap Inc. | Network resource location linking and visual content sharing |
US10354425B2 (en) | 2015-12-18 | 2019-07-16 | Snap Inc. | Method and system for providing context relevant media augmentation |
US11830117B2 (en) | 2015-12-18 | 2023-11-28 | Snap Inc | Media overlay publication system |
US11468615B2 (en) | 2015-12-18 | 2022-10-11 | Snap Inc. | Media overlay publication system |
US11197123B2 (en) | 2016-02-26 | 2021-12-07 | Snap Inc. | Generation, curation, and presentation of media collections |
US10679389B2 (en) | 2016-02-26 | 2020-06-09 | Snap Inc. | Methods and systems for generation, curation, and presentation of media collections |
US11023514B2 (en) | 2016-02-26 | 2021-06-01 | Snap Inc. | Methods and systems for generation, curation, and presentation of media collections |
US11889381B2 (en) | 2016-02-26 | 2024-01-30 | Snap Inc. | Generation, curation, and presentation of media collections |
US10834525B2 (en) | 2016-02-26 | 2020-11-10 | Snap Inc. | Generation, curation, and presentation of media collections |
US11611846B2 (en) | 2016-02-26 | 2023-03-21 | Snap Inc. | Generation, curation, and presentation of media collections |
US11631276B2 (en) | 2016-03-31 | 2023-04-18 | Snap Inc. | Automated avatar generation |
US11445326B2 (en) | 2016-06-28 | 2022-09-13 | Snap Inc. | Track engagement of media items |
US10885559B1 (en) | 2016-06-28 | 2021-01-05 | Snap Inc. | Generation, curation, and presentation of media collections with automated advertising |
US10219110B2 (en) | 2016-06-28 | 2019-02-26 | Snap Inc. | System to track engagement of media items |
US10430838B1 (en) | 2016-06-28 | 2019-10-01 | Snap Inc. | Methods and systems for generation, curation, and presentation of media collections with automated advertising |
US10327100B1 (en) | 2016-06-28 | 2019-06-18 | Snap Inc. | System to track engagement of media items |
US10506371B2 (en) | 2016-06-28 | 2019-12-10 | Snap Inc. | System to track engagement of media items |
US10785597B2 (en) | 2016-06-28 | 2020-09-22 | Snap Inc. | System to track engagement of media items |
US10165402B1 (en) | 2016-06-28 | 2018-12-25 | Snap Inc. | System to track engagement of media items |
US10735892B2 (en) | 2016-06-28 | 2020-08-04 | Snap Inc. | System to track engagement of media items |
US11640625B2 (en) | 2016-06-28 | 2023-05-02 | Snap Inc. | Generation, curation, and presentation of media collections with automated advertising |
US11080351B1 (en) | 2016-06-30 | 2021-08-03 | Snap Inc. | Automated content curation and communication |
US11895068B2 (en) | 2016-06-30 | 2024-02-06 | Snap Inc. | Automated content curation and communication |
US10387514B1 (en) | 2016-06-30 | 2019-08-20 | Snap Inc. | Automated content curation and communication |
US11509615B2 (en) | 2016-07-19 | 2022-11-22 | Snap Inc. | Generating customized electronic messaging graphics |
US10348662B2 (en) | 2016-07-19 | 2019-07-09 | Snap Inc. | Generating customized electronic messaging graphics |
US11816853B2 (en) | 2016-08-30 | 2023-11-14 | Snap Inc. | Systems and methods for simultaneous localization and mapping |
US11843456B2 (en) | 2016-10-24 | 2023-12-12 | Snap Inc. | Generating and displaying customized avatars in media overlays |
US11876762B1 (en) | 2016-10-24 | 2024-01-16 | Snap Inc. | Generating and displaying customized avatars in media overlays |
US10623666B2 (en) | 2016-11-07 | 2020-04-14 | Snap Inc. | Selective identification and order of image modifiers |
US11750767B2 (en) | 2016-11-07 | 2023-09-05 | Snap Inc. | Selective identification and order of image modifiers |
US11233952B2 (en) | 2016-11-07 | 2022-01-25 | Snap Inc. | Selective identification and order of image modifiers |
US10754525B1 (en) | 2016-12-09 | 2020-08-25 | Snap Inc. | Customized media overlays |
US10203855B2 (en) | 2016-12-09 | 2019-02-12 | Snap Inc. | Customized user-controlled media overlays |
US11397517B2 (en) | 2016-12-09 | 2022-07-26 | Snap Inc. | Customized media overlays |
US11616745B2 (en) | 2017-01-09 | 2023-03-28 | Snap Inc. | Contextual generation and selection of customized media content |
US11870743B1 (en) | 2017-01-23 | 2024-01-09 | Snap Inc. | Customized digital avatar accessories |
US10915911B2 (en) | 2017-02-03 | 2021-02-09 | Snap Inc. | System to determine a price-schedule to distribute media content |
US11861795B1 (en) | 2017-02-17 | 2024-01-02 | Snap Inc. | Augmented reality anamorphosis system |
US11720640B2 (en) | 2017-02-17 | 2023-08-08 | Snap Inc. | Searching social media content |
US11250075B1 (en) | 2017-02-17 | 2022-02-15 | Snap Inc. | Searching social media content |
US10319149B1 (en) | 2017-02-17 | 2019-06-11 | Snap Inc. | Augmented reality anamorphosis system |
US11189299B1 (en) | 2017-02-20 | 2021-11-30 | Snap Inc. | Augmented reality speech balloon system |
US11748579B2 (en) | 2017-02-20 | 2023-09-05 | Snap Inc. | Augmented reality speech balloon system |
US11670057B2 (en) | 2017-03-06 | 2023-06-06 | Snap Inc. | Virtual vision system |
US11037372B2 (en) | 2017-03-06 | 2021-06-15 | Snap Inc. | Virtual vision system |
US10887269B1 (en) | 2017-03-09 | 2021-01-05 | Snap Inc. | Restricted group content collection |
US10523625B1 (en) | 2017-03-09 | 2019-12-31 | Snap Inc. | Restricted group content collection |
US11258749B2 (en) | 2017-03-09 | 2022-02-22 | Snap Inc. | Restricted group content collection |
US11349796B2 (en) | 2017-03-27 | 2022-05-31 | Snap Inc. | Generating a stitched data stream |
US11558678B2 (en) | 2017-03-27 | 2023-01-17 | Snap Inc. | Generating a stitched data stream |
US11297399B1 (en) | 2017-03-27 | 2022-04-05 | Snap Inc. | Generating a stitched data stream |
US11170393B1 (en) | 2017-04-11 | 2021-11-09 | Snap Inc. | System to calculate an engagement score of location based media content |
US11195018B1 (en) | 2017-04-20 | 2021-12-07 | Snap Inc. | Augmented reality typography personalization system |
US10387730B1 (en) | 2017-04-20 | 2019-08-20 | Snap Inc. | Augmented reality typography personalization system |
US11842411B2 (en) | 2017-04-27 | 2023-12-12 | Snap Inc. | Location-based virtual avatars |
US11385763B2 (en) | 2017-04-27 | 2022-07-12 | Snap Inc. | Map-based graphical user interface indicating geospatial activity metrics |
US11418906B2 (en) | 2017-04-27 | 2022-08-16 | Snap Inc. | Selective location-based identity communication |
US11409407B2 (en) | 2017-04-27 | 2022-08-09 | Snap Inc. | Map-based graphical user interface indicating geospatial activity metrics |
US10963529B1 (en) | 2017-04-27 | 2021-03-30 | Snap Inc. | Location-based search mechanism in a graphical user interface |
US11392264B1 (en) | 2017-04-27 | 2022-07-19 | Snap Inc. | Map-based graphical user interface for multi-type social media galleries |
US11451956B1 (en) | 2017-04-27 | 2022-09-20 | Snap Inc. | Location privacy management on map-based social media platforms |
US10952013B1 (en) | 2017-04-27 | 2021-03-16 | Snap Inc. | Selective location-based identity communication |
US11556221B2 (en) | 2017-04-27 | 2023-01-17 | Snap Inc. | Friend location sharing mechanism for social media platforms |
US11893647B2 (en) | 2017-04-27 | 2024-02-06 | Snap Inc. | Location-based virtual avatars |
US11474663B2 (en) | 2017-04-27 | 2022-10-18 | Snap Inc. | Location-based search mechanism in a graphical user interface |
US11782574B2 (en) | 2017-04-27 | 2023-10-10 | Snap Inc. | Map-based graphical user interface indicating geospatial activity metrics |
US11232040B1 (en) | 2017-04-28 | 2022-01-25 | Snap Inc. | Precaching unlockable data elements |
US11675831B2 (en) | 2017-05-31 | 2023-06-13 | Snap Inc. | Geolocation based playlists |
US11475254B1 (en) | 2017-09-08 | 2022-10-18 | Snap Inc. | Multimodal entity identification |
US10740974B1 (en) | 2017-09-15 | 2020-08-11 | Snap Inc. | Augmented reality system |
US11721080B2 (en) | 2017-09-15 | 2023-08-08 | Snap Inc. | Augmented reality system |
US11335067B2 (en) | 2017-09-15 | 2022-05-17 | Snap Inc. | Augmented reality system |
US10499191B1 (en) | 2017-10-09 | 2019-12-03 | Snap Inc. | Context sensitive presentation of content |
US11006242B1 (en) | 2017-10-09 | 2021-05-11 | Snap Inc. | Context sensitive presentation of content |
US11617056B2 (en) | 2017-10-09 | 2023-03-28 | Snap Inc. | Context sensitive presentation of content |
US11670025B2 (en) | 2017-10-30 | 2023-06-06 | Snap Inc. | Mobile-based cartographic control of display content |
US11030787B2 (en) | 2017-10-30 | 2021-06-08 | Snap Inc. | Mobile-based cartographic control of display content |
US11265273B1 (en) | 2017-12-01 | 2022-03-01 | Snap, Inc. | Dynamic media overlay with smart widget |
US11943185B2 (en) | 2017-12-01 | 2024-03-26 | Snap Inc. | Dynamic media overlay with smart widget |
US11558327B2 (en) | 2017-12-01 | 2023-01-17 | Snap Inc. | Dynamic media overlay with smart widget |
US11017173B1 (en) | 2017-12-22 | 2021-05-25 | Snap Inc. | Named entity recognition visual context and caption data |
US11687720B2 (en) | 2017-12-22 | 2023-06-27 | Snap Inc. | Named entity recognition visual context and caption data |
US11487794B2 (en) | 2018-01-03 | 2022-11-01 | Snap Inc. | Tag distribution visualization system |
US10678818B2 (en) | 2018-01-03 | 2020-06-09 | Snap Inc. | Tag distribution visualization system |
US11507614B1 (en) | 2018-02-13 | 2022-11-22 | Snap Inc. | Icon based tagging |
US11841896B2 (en) | 2018-02-13 | 2023-12-12 | Snap Inc. | Icon based tagging |
US10885136B1 (en) | 2018-02-28 | 2021-01-05 | Snap Inc. | Audience filtering system |
US11523159B2 (en) | 2018-02-28 | 2022-12-06 | Snap Inc. | Generating media content items based on location information |
US10979752B1 (en) | 2018-02-28 | 2021-04-13 | Snap Inc. | Generating media content items based on location information |
US11044574B2 (en) | 2018-03-06 | 2021-06-22 | Snap Inc. | Geo-fence selection system |
US10524088B2 (en) | 2018-03-06 | 2019-12-31 | Snap Inc. | Geo-fence selection system |
US11722837B2 (en) | 2018-03-06 | 2023-08-08 | Snap Inc. | Geo-fence selection system |
US11570572B2 (en) | 2018-03-06 | 2023-01-31 | Snap Inc. | Geo-fence selection system |
US10327096B1 (en) | 2018-03-06 | 2019-06-18 | Snap Inc. | Geo-fence selection system |
US11491393B2 (en) | 2018-03-14 | 2022-11-08 | Snap Inc. | Generating collectible items based on location information |
US10933311B2 (en) | 2018-03-14 | 2021-03-02 | Snap Inc. | Generating collectible items based on location information |
US11163941B1 (en) | 2018-03-30 | 2021-11-02 | Snap Inc. | Annotating a collection of media content items |
US10779114B2 (en) | 2018-04-18 | 2020-09-15 | Snap Inc. | Visitation tracking system |
US10924886B2 (en) | 2018-04-18 | 2021-02-16 | Snap Inc. | Visitation tracking system |
US11297463B2 (en) | 2018-04-18 | 2022-04-05 | Snap Inc. | Visitation tracking system |
US10219111B1 (en) | 2018-04-18 | 2019-02-26 | Snap Inc. | Visitation tracking system |
US10681491B1 (en) | 2018-04-18 | 2020-06-09 | Snap Inc. | Visitation tracking system |
US11683657B2 (en) | 2018-04-18 | 2023-06-20 | Snap Inc. | Visitation tracking system |
US10448199B1 (en) | 2018-04-18 | 2019-10-15 | Snap Inc. | Visitation tracking system |
US11860888B2 (en) | 2018-05-22 | 2024-01-02 | Snap Inc. | Event detection system |
US11367234B2 (en) | 2018-07-24 | 2022-06-21 | Snap Inc. | Conditional modification of augmented reality object |
US10789749B2 (en) | 2018-07-24 | 2020-09-29 | Snap Inc. | Conditional modification of augmented reality object |
US10679393B2 (en) | 2018-07-24 | 2020-06-09 | Snap Inc. | Conditional modification of augmented reality object |
US11670026B2 (en) | 2018-07-24 | 2023-06-06 | Snap Inc. | Conditional modification of augmented reality object |
US10943381B2 (en) | 2018-07-24 | 2021-03-09 | Snap Inc. | Conditional modification of augmented reality object |
US10997760B2 (en) | 2018-08-31 | 2021-05-04 | Snap Inc. | Augmented reality anthropomorphization system |
US11450050B2 (en) | 2018-08-31 | 2022-09-20 | Snap Inc. | Augmented reality anthropomorphization system |
US11676319B2 (en) | 2018-08-31 | 2023-06-13 | Snap Inc. | Augmented reality anthropomorphtzation system |
US11455082B2 (en) | 2018-09-28 | 2022-09-27 | Snap Inc. | Collaborative achievement interface |
US11704005B2 (en) | 2018-09-28 | 2023-07-18 | Snap Inc. | Collaborative achievement interface |
US11799811B2 (en) | 2018-10-31 | 2023-10-24 | Snap Inc. | Messaging and gaming applications communication platform |
US11698722B2 (en) | 2018-11-30 | 2023-07-11 | Snap Inc. | Generating customized avatars based on location information |
US11558709B2 (en) | 2018-11-30 | 2023-01-17 | Snap Inc. | Position service to determine relative position to map features |
US11812335B2 (en) | 2018-11-30 | 2023-11-07 | Snap Inc. | Position service to determine relative position to map features |
US11199957B1 (en) | 2018-11-30 | 2021-12-14 | Snap Inc. | Generating customized avatars based on location information |
US11877211B2 (en) | 2019-01-14 | 2024-01-16 | Snap Inc. | Destination sharing in location sharing system |
US11751015B2 (en) | 2019-01-16 | 2023-09-05 | Snap Inc. | Location-based context information sharing in a messaging system |
US11294936B1 (en) | 2019-01-30 | 2022-04-05 | Snap Inc. | Adaptive spatial density based clustering |
US11693887B2 (en) | 2019-01-30 | 2023-07-04 | Snap Inc. | Adaptive spatial density based clustering |
US11809624B2 (en) | 2019-02-13 | 2023-11-07 | Snap Inc. | Sleep detection in a location sharing system |
US11500525B2 (en) | 2019-02-25 | 2022-11-15 | Snap Inc. | Custom media overlay system |
US11574431B2 (en) | 2019-02-26 | 2023-02-07 | Snap Inc. | Avatar based on weather |
US11301117B2 (en) | 2019-03-08 | 2022-04-12 | Snap Inc. | Contextual information in chat |
US11868414B1 (en) | 2019-03-14 | 2024-01-09 | Snap Inc. | Graph-based prediction for contact suggestion in a location sharing system |
US11852554B1 (en) | 2019-03-21 | 2023-12-26 | Snap Inc. | Barometer calibration in a location sharing system |
US11249614B2 (en) | 2019-03-28 | 2022-02-15 | Snap Inc. | Generating personalized map interface with enhanced icons |
US11740760B2 (en) | 2019-03-28 | 2023-08-29 | Snap Inc. | Generating personalized map interface with enhanced icons |
US11361493B2 (en) | 2019-04-01 | 2022-06-14 | Snap Inc. | Semantic texture mapping system |
US11785549B2 (en) | 2019-05-30 | 2023-10-10 | Snap Inc. | Wearable device location systems |
US11606755B2 (en) | 2019-05-30 | 2023-03-14 | Snap Inc. | Wearable device location systems architecture |
US11206615B2 (en) | 2019-05-30 | 2021-12-21 | Snap Inc. | Wearable device location systems |
US11917495B2 (en) | 2019-06-07 | 2024-02-27 | Snap Inc. | Detection of a physical collision between two client devices in a location sharing system |
US11601783B2 (en) | 2019-06-07 | 2023-03-07 | Snap Inc. | Detection of a physical collision between two client devices in a location sharing system |
US11714535B2 (en) | 2019-07-11 | 2023-08-01 | Snap Inc. | Edge gesture interface with smart interactions |
US11821742B2 (en) | 2019-09-26 | 2023-11-21 | Snap Inc. | Travel based notifications |
US11218838B2 (en) | 2019-10-31 | 2022-01-04 | Snap Inc. | Focused map-based context information surfacing |
US11128715B1 (en) | 2019-12-30 | 2021-09-21 | Snap Inc. | Physical friend proximity in chat |
US11429618B2 (en) | 2019-12-30 | 2022-08-30 | Snap Inc. | Surfacing augmented reality objects |
US11943303B2 (en) | 2019-12-31 | 2024-03-26 | Snap Inc. | Augmented reality objects registry |
US11343323B2 (en) | 2019-12-31 | 2022-05-24 | Snap Inc. | Augmented reality objects registry |
US11893208B2 (en) | 2019-12-31 | 2024-02-06 | Snap Inc. | Combined map icon with action indicator |
US11228551B1 (en) | 2020-02-12 | 2022-01-18 | Snap Inc. | Multiple gateway message exchange |
US11888803B2 (en) | 2020-02-12 | 2024-01-30 | Snap Inc. | Multiple gateway message exchange |
US11765117B2 (en) | 2020-03-05 | 2023-09-19 | Snap Inc. | Storing data based on device location |
US11516167B2 (en) | 2020-03-05 | 2022-11-29 | Snap Inc. | Storing data based on device location |
US11619501B2 (en) | 2020-03-11 | 2023-04-04 | Snap Inc. | Avatar based on trip |
US11915400B2 (en) | 2020-03-27 | 2024-02-27 | Snap Inc. | Location mapping for large scale augmented-reality |
US11430091B2 (en) | 2020-03-27 | 2022-08-30 | Snap Inc. | Location mapping for large scale augmented-reality |
US11776256B2 (en) | 2020-03-27 | 2023-10-03 | Snap Inc. | Shared augmented reality system |
US11503432B2 (en) | 2020-06-15 | 2022-11-15 | Snap Inc. | Scalable real-time location sharing framework |
US11314776B2 (en) | 2020-06-15 | 2022-04-26 | Snap Inc. | Location sharing using friend list versions |
US11290851B2 (en) | 2020-06-15 | 2022-03-29 | Snap Inc. | Location sharing using offline and online objects |
US11483267B2 (en) | 2020-06-15 | 2022-10-25 | Snap Inc. | Location sharing using different rate-limited links |
US11676378B2 (en) | 2020-06-29 | 2023-06-13 | Snap Inc. | Providing travel-based augmented reality content with a captured image |
US11943192B2 (en) | 2020-08-31 | 2024-03-26 | Snap Inc. | Co-location connection service |
US11961116B2 (en) | 2020-10-26 | 2024-04-16 | Foursquare Labs, Inc. | Determining exposures to content presented by physical objects |
US11902902B2 (en) | 2021-03-29 | 2024-02-13 | Snap Inc. | Scheduling requests for location data |
US11601888B2 (en) | 2021-03-29 | 2023-03-07 | Snap Inc. | Determining location using multi-source geolocation data |
US11606756B2 (en) | 2021-03-29 | 2023-03-14 | Snap Inc. | Scheduling requests for location data |
US11645324B2 (en) | 2021-03-31 | 2023-05-09 | Snap Inc. | Location-based timeline media content system |
US11829834B2 (en) | 2021-10-29 | 2023-11-28 | Snap Inc. | Extended QR code |
US11956533B2 (en) | 2021-11-29 | 2024-04-09 | Snap Inc. | Accessing media at a geographic location |
US11962645B2 (en) | 2022-06-02 | 2024-04-16 | Snap Inc. | Guided personal identity based actions |
US11954314B2 (en) | 2022-09-09 | 2024-04-09 | Snap Inc. | Custom media overlay system |
US11963105B2 (en) | 2023-02-10 | 2024-04-16 | Snap Inc. | Wearable device location systems architecture |
US11961196B2 (en) | 2023-03-17 | 2024-04-16 | Snap Inc. | Virtual vision system |
Also Published As
Publication number | Publication date |
---|---|
JP2016529570A (en) | 2016-09-23 |
US10296933B2 (en) | 2019-05-21 |
MX364910B (en) | 2019-05-13 |
JP6744932B2 (en) | 2020-08-19 |
CN105408855B (en) | 2019-06-11 |
EP2984556A1 (en) | 2016-02-17 |
JP6473135B2 (en) | 2019-02-20 |
KR102025615B1 (en) | 2019-09-27 |
JP2019075172A (en) | 2019-05-16 |
AU2014251221A1 (en) | 2015-11-26 |
BR112015025970A2 (en) | 2017-07-25 |
MX2015014302A (en) | 2016-04-20 |
EP2984556A4 (en) | 2016-10-12 |
CA2908554A1 (en) | 2014-10-16 |
CN105408855A (en) | 2016-03-16 |
AU2014251221B2 (en) | 2019-09-12 |
KR20150142030A (en) | 2015-12-21 |
WO2014168795A1 (en) | 2014-10-16 |
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